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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 25 occurrences of 17 keywords
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Results
Found 130 publication records. Showing 130 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
57 | Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis |
Kernel k-means: spectral clustering and normalized cuts. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, USA, August 22-25, 2004, pp. 551-556, 2004, ACM, 1-58113-888-1. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
kernel k-means, graph partitioning, spectral clustering |
51 | Grigorios Tzortzis, Aristidis Likas |
The global kernel k-means clustering algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, pp. 1977-1984, 2008, IEEE, 978-1-4244-1820-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
48 | Alissar Nasser, Pierre-Alexandre Hébert, Denis Hamad |
Clustering Evaluation in Feature Space. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN (2) ![In: Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II, pp. 321-330, 2007, Springer, 978-3-540-74693-5. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Clustering evaluation, Kernel-k-means, Davies & Bouldin’s index, Number of classes estimation, Kernel estimation |
42 | Sanparith Marukatat |
Sparse Kernel PCA by Kernel K-Means and Preimage Reconstruction Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PRICAI ![In: PRICAI 2006: Trends in Artificial Intelligence, 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006, Proceedings, pp. 454-463, 2006, Springer, 3-540-36667-9. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
38 | Luh Yen, François Fouss, Christine Decaestecker, Pascal Francq, Marco Saerens |
Graph Nodes Clustering Based on the Commute-Time Kernel. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PAKDD ![In: Advances in Knowledge Discovery and Data Mining, 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007, Proceedings, pp. 1037-1045, 2007, Springer, 978-3-540-71700-3. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
38 | Julia Couto 0001 |
Kernel K-Means for Categorical Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IDA ![In: Advances in Intelligent Data Analysis VI, 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings, pp. 46-56, 2005, Springer, 3-540-28795-7. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
29 | S. Chandrakala 0001, C. Chandra Sekhar |
A density based method for multivariate time series clustering in kernel feature space. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, pp. 1885-1890, 2008, IEEE, 978-1-4244-1820-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
29 | Rong Zhang 0003, Alexander I. Rudnicky |
A Large Scale Clustering Scheme for Kernel K-Means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPR (4) ![In: 16th International Conference on Pattern Recognition, ICPR 2002, Quebec, Canada, August 11-15, 2002., pp. 289-292, 2002, IEEE Computer Society, 0-7695-1695-5. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
27 | Sebastián Maldonado, Emilio Carrizosa, Richard Weber 0002 |
Kernel Penalized K-means: A feature selection method based on Kernel K-means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Inf. Sci. ![In: Inf. Sci. 322, pp. 150-160, 2015. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP DOI BibTeX RDF |
|
26 | Manuel Fernandez, David P. Woodruff, Taisuke Yasuda 0002 |
Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel k-means Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1905.06394, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
26 | Taisuke Yasuda 0002, David P. Woodruff, Manuel Fernandez |
Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel $k$-means Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, pp. 7055-7063, 2019, PMLR. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
25 | Tao Zhou 0009, Yanning Zhang, Huiling Lu, Fang'an Deng, Fengxiao Wang |
Rough Cluster Algorithm Based on Kernel Function. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RSKT ![In: Rough Sets and Knowledge Technology, Third International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008. Proceedings, pp. 172-179, 2008, Springer, 978-3-540-79720-3. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Kernel clustering algorithm, Rough clustering, Rough set, K-means, Kernel methods |
21 | Alessio Leoncini, Fabio Sangiacomo, Chiara Peretti, Sonia Argentesi, Rodolfo Zunino, Erik Cambria |
Semantic Models for Style-Based Text Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICSC ![In: Proceedings of the 5th IEEE International Conference on Semantic Computing (ICSC 2011), Palo Alto, CA, USA, September 18-21, 2011, pp. 75-82, 2011, IEEE Computer Society, 978-1-4577-1648-5. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP DOI BibTeX RDF |
Semantic Text Clustering, Multilingual Document Clustering, Kernel K-Means, Text Mining, WordNet |
21 | Jinhui Yuan, Jianmin Li 0001, Bo Zhang 0010 |
Learning concepts from large scale imbalanced data sets using support cluster machines. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Multimedia ![In: Proceedings of the 14th ACM International Conference on Multimedia, Santa Barbara, CA, USA, October 23-27, 2006, pp. 441-450, 2006, ACM, 1-59593-447-2. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
concept modelling, kernel k-means, clustering, support vector machines, large scale, imbalance |
20 | Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Q. Xu |
Kernel k-Means, By All Means: Algorithms and Strong Consistency. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2011.06461, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
|
20 | Rina Su, Yu Guo, Caiying Wu, Qiyu Jin, Tieyong Zeng |
Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2403.03448, 2024. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP DOI BibTeX RDF |
|
20 | Miaomiao Li, Yi Zhang, Suyuan Liu, Zhe Liu 0001, Xinzhong Zhu |
Simple multiple kernel k-means with kernel weight regularization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Inf. Fusion ![In: Inf. Fusion 100, pp. 101902, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
20 | Shota Saito |
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-means, and Heat Kernel. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2203.09888, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
20 | Yihang Lu, Jitao Lu, Rong Wang 0001, Feiping Nie 0001 |
Discrete Multi-Kernel K-Means with Diverse and Optimal Kernel Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICASSP ![In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022, pp. 4153-4157, 2022, IEEE, 978-1-6654-0541-6. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
20 | Yihang Lu, Xuan Zheng, Rong Wang 0001, Feiping Nie 0001, Xuelong Li 0001 |
A Unified Framework for Discrete Multi-kernel k-means with Kernel Diversity Regularization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPR ![In: 26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022, pp. 4934-4940, 2022, IEEE, 978-1-6654-9062-7. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
20 | Shota Saito |
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AAAI ![In: Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, pp. 8141-8149, 2022, AAAI Press, 978-1-57735-876-3. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
20 | Qiyuan Ou, Long Gao, En Zhu |
Multiple Kernel k-Means With Low-Rank Neighborhood Kernel. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 9, pp. 3291-3300, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
20 | Zhenwen Ren, Quansen Sun, Dong Wei 0007 |
Multiple Kernel Clustering with Kernel k-Means Coupled Graph Tensor Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AAAI ![In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pp. 9411-9418, 2021, AAAI Press, 978-1-57735-866-4. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
20 | Kazushi Okamoto |
Families of Triangular Norm-Based Kernel Functions and Their Application to Kernel k-Means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Adv. Comput. Intell. Intell. Informatics ![In: J. Adv. Comput. Intell. Intell. Informatics 21(3), pp. 534-542, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
20 | Kazushi Okamoto |
Families of Triangular Norm Based Kernel Function and Its Application to Kernel k-Means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SCIS&ISIS ![In: 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), Sapporo, Japan, August 25-28, 2016, pp. 420-425, 2016, IEEE, 978-1-5090-2678-4. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
20 | Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis 0001, Ioannis Pitas |
Kernel matrix trimming for improved Kernel K-means clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: 2015 IEEE International Conference on Image Processing, ICIP 2015, Quebec City, QC, Canada, September 27-30, 2015, pp. 2285-2289, 2015, IEEE, 978-1-4799-8339-1. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP DOI BibTeX RDF |
|
20 | Radha Chitta, Rong Jin 0001, Timothy C. Havens, Anil K. Jain 0001 |
Scalable Kernel Clustering: Approximate Kernel k-means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1402.3849, 2014. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP BibTeX RDF |
|
20 | Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho |
A kernel k-means clustering algorithm based on an adaptive Mahalanobis kernel. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: 2014 International Joint Conference on Neural Networks, IJCNN 2014, Beijing, China, July 6-11, 2014, pp. 1885-1892, 2014, IEEE, 978-1-4799-6627-1. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP DOI BibTeX RDF |
|
20 | Radha Chitta, Rong Jin 0001, Timothy C. Havens, Anil K. Jain 0001 |
Approximate kernel k-means: solution to large scale kernel clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011, pp. 895-903, 2011, ACM, 978-1-4503-0813-7. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP DOI BibTeX RDF |
|
19 | Kaspar Riesen, Horst Bunke |
Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ANNPR ![In: Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, ANNPR 2008, Paris, France, July 2-4, 2008, Proceedings, pp. 24-35, 2008, Springer, 978-3-540-69938-5. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
17 | Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis |
Weighted Graph Cuts without Eigenvectors A Multilevel Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 29(11), pp. 1944-1957, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Data Mining, Clustering, Segmentation, k-means, k-means, Kernel, Graph Partitioning, Spectral Clustering |
15 | Alexandros Karatzoglou, Ingo Feinerer |
Text Clustering with String Kernels in R. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GfKl ![In: Advances in Data Analysis, Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8-10, 2006, pp. 91-98, 2006, Springer, 978-3-540-70980-0. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
15 | Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney |
Semi-supervised graph clustering: a kernel approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005, pp. 457-464, 2005, ACM, 1-59593-180-5. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
13 | Mohd. Noor Md. Sap, A. Majid Awan |
Finding Spatio-Temporal Patterns in Climate Data Using Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CW ![In: 4th International Conference on Cyberworlds (CW 2005), 23-25 November 2005, Singapore, pp. 155-164, 2005, IEEE Computer Society, 0-7695-2378-1. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
13 | Xin Guan, Yoshikazu Terada |
Sparse kernel k-means for high-dimensional data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Pattern Recognit. ![In: Pattern Recognit. 144, pp. 109873, December 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
13 | Miaomiao Li, Jingyuan Xia, Huiying Xu, Qing Liao 0001, Xinzhong Zhu, Xinwang Liu 0002 |
Localized Incomplete Multiple Kernel k-Means With Matrix-Induced Regularization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Cybern. ![In: IEEE Trans. Cybern. 53(6), pp. 3479-3492, June 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
13 | Rong Yin 0001, Yong Liu 0018, Weiping Wang 0005, Dan Meng |
Scalable Kernel $k$-Means With Randomized Sketching: From Theory to Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Knowl. Data Eng. ![In: IEEE Trans. Knowl. Data Eng. 35(9), pp. 9210-9224, September 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
13 | Cuiling Chen, Jian Wei, Zhi Li |
Multiple kernel k-means clustering with block diagonal property. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Pattern Anal. Appl. ![In: Pattern Anal. Appl. 26(3), pp. 1515-1526, August 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
13 | Xinwang Liu 0002 |
SimpleMKKM: Simple Multiple Kernel K-Means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 45(4), pp. 5174-5186, April 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
13 | Xinwang Liu 0002 |
Hyperparameter-Free Localized Simple Multiple Kernel K-means With Global Optimum. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 45(7), pp. 8566-8576, July 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
13 | Jiali You 0002, Chiyu Han, Zhenwen Ren, Haoran Li, Xiaojian You |
Clustering via multiple kernel k-means coupled graph and enhanced tensor learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Intell. ![In: Appl. Intell. 53(3), pp. 2564-2575, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
13 | Bernd-Jürgen Falkowski |
Improving a Kernel k-Means Iterative Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CISP-BMEI ![In: 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2023, Taizhou, China, October 28-30, 2023, pp. 1-5, 2023, IEEE, 979-8-3503-3075-5. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
13 | Rong Wang 0001, Jitao Lu, Yihang Lu, Feiping Nie 0001, Xuelong Li 0001 |
Discrete and Parameter-Free Multiple Kernel k-Means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Image Process. ![In: IEEE Trans. Image Process. 31, pp. 2796-2808, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
13 | Yihang Lu, Xuan Zheng, Jitao Lu, Rong Wang 0001, Feiping Nie 0001, Xuelong Li 0001 |
Self-Paced and Discrete Multiple Kernel k-Means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIKM ![In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, pp. 4284-4288, 2022, ACM, 978-1-4503-9236-5. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
13 | Yihang Lu, Haonan Xin, Rong Wang 0001, Feiping Nie 0001, Xuelong Li 0001 |
Scalable Multiple Kernel k-means Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIKM ![In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, pp. 4279-4283, 2022, ACM, 978-1-4503-9236-5. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
13 | Jitao Lu, Yihang Lu, Rong Wang 0001, Feiping Nie 0001, Xuelong Li 0001 |
Multiple Kernel K-Means Clustering with Simultaneous Spectral Rotation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICASSP ![In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022, pp. 4143-4147, 2022, IEEE, 978-1-6654-0541-6. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
13 | Yi Zhang, Weixuan Liang, Xinwang Liu 0002, Sisi Dai, Siwei Wang 0001, Liyang Xu, En Zhu |
Sample Weighted Multiple Kernel K-means via Min-Max optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Multimedia ![In: MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10 - 14, 2022, pp. 1679-1687, 2022, ACM, 978-1-4503-9203-7. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
13 | Yi Zhang, Xinwang Liu 0002, Jiyuan Liu 0003, Sisi Dai, Changwang Zhang, Kai Xu 0004, En Zhu |
Fusion Multiple Kernel K-means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AAAI ![In: Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, pp. 9109-9117, 2022, AAAI Press, 978-1-57735-876-3. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
13 | Rong Yin 0001, Yong Liu 0018, Weiping Wang 0005, Dan Meng |
Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022., 2022, 9781713871088. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
13 | Li Chen, Shuisheng Zhou, Jiajun Ma, Mingliang Xu |
Fast kernel k-means clustering using incomplete Cholesky factorization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Appl. Math. Comput. ![In: Appl. Math. Comput. 402, pp. 126037, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
13 | Balakumaresan Ragupathy, Manivannan Karunakaran |
A deep learning model integrating convolution neural network and multiple kernel K means clustering for segmenting brain tumor in magnetic resonance images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Imaging Syst. Technol. ![In: Int. J. Imaging Syst. Technol. 31(1), pp. 118-127, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
13 | Yaqiang Yao, Yang Li 0066, Bingbing Jiang, Huanhuan Chen |
Multiple Kernel k-Means Clustering by Selecting Representative Kernels. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks Learn. Syst. ![In: IEEE Trans. Neural Networks Learn. Syst. 32(11), pp. 4983-4996, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
13 | Xinwang Liu 0002, Sihang Zhou 0001, Li Liu 0002, Chang Tang, Siwei Wang 0001, Jiyuan Liu 0003, Yi Zhang |
Localized Simple Multiple Kernel K-means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICCV ![In: 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, pp. 9273-9281, 2021, IEEE, 978-1-6654-2812-5. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
13 | Yujing Zhang, Siwei Wang 0001, En Zhu |
Unified and View-Specific Multiple Kernel K-Means Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DEXA (1) ![In: Database and Expert Systems Applications - 32nd International Conference, DEXA 2021, Virtual Event, September 27-30, 2021, Proceedings, Part I, pp. 51-62, 2021, Springer, 978-3-030-86471-2. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
13 | Rong Wang 0001, Jitao Lu, Yihang Lu, Feiping Nie 0001, Xuelong Li 0001 |
Discrete Multiple Kernel k-means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCAI ![In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021., pp. 3111-3117, 2021, ijcai.org. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
13 | P. L. Lekshmy, M. Abdul Rahiman |
Hybrid Approach to Speed-Up the Privacy Preserving Kernel K-means Clustering and its Application in Social Distributed Environment. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Netw. Syst. Manag. ![In: J. Netw. Syst. Manag. 28(2), pp. 398-422, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
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13 | Li Chen, Shuisheng Zhou, Jiajun Ma |
Fast Kernel k-means Clustering Using Incomplete Cholesky Factorization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2002.02846, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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13 | Yong Liu 0018, Lizhong Ding 0001, Weiping Wang 0005 |
Nearly Optimal Clustering Risk Bounds for Kernel K-Means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2003.03888, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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13 | Liang Du 0003, Haiying Zhang, Xin Ren, Xiaolin Lv |
Manifold Adaptive Multiple Kernel K-Means for Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2009.14389, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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13 | Xinwang Liu 0002, En Zhu, Jiyuan Liu 0003, Timothy M. Hospedales, Yang Wang 0023, Meng Wang 0001 |
SimpleMKKM: Simple Multiple Kernel K-means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2005.04975, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP BibTeX RDF |
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13 | Ahmed A. M. Jamel, Bahriye Akay |
Human Activity Recognition Based on Parallel Approximation Kernel K-Means Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Syst. Sci. Eng. ![In: Comput. Syst. Sci. Eng. 35(6), pp. 441-456, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
13 | Tru Cao, Chau Vo, Son Nguyen, Atsushi Inoue, Duanning Zhou |
A Kernel k-Means-Based Method and Attribute Selections for Diabetes Diagnosis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Adv. Comput. Intell. Intell. Informatics ![In: J. Adv. Comput. Intell. Intell. Informatics 24(1), pp. 73-82, 2020. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
13 | Liang Du 0003, Haiying Zhang, Xin Ren, Xiaolin Lv |
Manifold Adaptive Multiple Kernel K-Means for Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACAI ![In: ACAI 2020: 3rd International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December, 2020, pp. 16:1-16:7, 2020, ACM, 978-1-4503-8811-5. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
13 | Bernd-Jürgen Falkowski |
Maximum Likelihood Estimates and a Kernel k-Means Iterative Algorithm for Normal Mixtures. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IECON ![In: The 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020, Singapore, October 18-21, 2020, pp. 2115-2118, 2020, IEEE, 978-1-7281-5414-5. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
13 | Jing Liu, Fuyuan Cao, Xiao-Zhi Gao 0001, Liqin Yu, Jiye Liang |
A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AAAI ![In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020., pp. 4860-4867, 2020, AAAI Press, 978-1-57735-823-7. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
13 | Shusen Wang, Alex Gittens, Michael W. Mahoney |
Scalable Kernel K-Means Clustering with Nystr"om Approximation: Relative-Error Bounds. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Mach. Learn. Res. ![In: J. Mach. Learn. Res. 20, pp. 12:1-12:49, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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13 | Jingtao Hu, Miaomiao Li, En Zhu, Siwei Wang 0001, Xinwang Liu 0002, Yongping Zhai |
Consensus Multiple Kernel K-Means Clustering With Late Fusion Alignment and Matrix-Induced Regularization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 7, pp. 136322-136331, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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13 | Siwei Wang 0001, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu 0002 |
Efficient Multiple Kernel k-Means Clustering With Late Fusion. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Access ![In: IEEE Access 7, pp. 61109-61120, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
13 | Daniele Calandriello, Lorenzo Rosasco |
Statistical and Computational Trade-Offs in Kernel K-Means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1908.10284, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
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13 | Hongjie Jia, Liangjun Wang, Heping Song |
HMRF半监督近似核k-means算法 (HMRF Semi-supervised Approximate Kernel k-means Algorithm). ![Search on Bibsonomy](Pics/bibsonomy.png) |
计算机科学 ![In: 计算机科学 46(12), pp. 31-37, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
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13 | Mohammed Baydoun, Hassan Ghaziri, Mohammed Al-Husseini |
CPU and GPU parallelized kernel K-means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Supercomput. ![In: J. Supercomput. 74(8), pp. 3975-3998, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
13 | Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis 0001, Ioannis Pitas |
Big Data Clustering with Kernel k-Means: Resources, Time and Performance. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Artif. Intell. Tools ![In: Int. J. Artif. Intell. Tools 27(4), pp. 1860006:1-1860006:18, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
13 | Yi Zhang 0095, Jie Lu 0001, Feng Liu 0003, Qian Liu 0012, Alan L. Porter, Hongshu Chen, Guangquan Zhang 0001 |
Does deep learning help topic extraction? A kernel k-means clustering method with word embedding. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Informetrics ![In: J. Informetrics 12(4), pp. 1099-1117, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
13 | Yaqiang Yao, Huanhuan Chen |
Multiple Kernel k-Means Clustering by Selecting Representative Kernels. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1811.00264, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
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13 | Seo-Jin Bang, Wei Wu 0023 |
Multiple Kernel k-means Clustering using Min-Max Optimization with l2 Regularization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1803.02458, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
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13 | Shifei Ding, Xiao Xu, Shuyan Fan, Yu Xue 0004 |
Locally adaptive multiple kernel k-means algorithm based on shared nearest neighbors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Soft Comput. ![In: Soft Comput. 22(14), pp. 4573-4583, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
13 | Shuyan Fan, Shifei Ding, Yu Xue 0004 |
Self-adaptive kernel K-means algorithm based on the shuffled frog leaping algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Soft Comput. ![In: Soft Comput. 22(3), pp. 861-872, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
13 | Li He 0002, Hong Zhang 0013 |
Kernel K-Means Sampling for Nyström Approximation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Image Process. ![In: IEEE Trans. Image Process. 27(5), pp. 2108-2120, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
13 | Daniele Calandriello, Lorenzo Rosasco |
Statistical and Computational Trade-Offs in Kernel K-Means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada., pp. 9379-9389, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP BibTeX RDF |
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13 | Xinzhong Zhu, Xinwang Liu 0002, Miaomiao Li, En Zhu, Li Liu 0002, Zhiping Cai, Jianping Yin, Wen Gao 0001 |
Localized Incomplete Multiple Kernel k-means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCAI ![In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden., pp. 3271-3277, 2018, ijcai.org, 978-0-9992411-2-7. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
13 | Shusen Wang, Alex Gittens, Michael W. Mahoney |
Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1706.02803, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP BibTeX RDF |
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13 | Marco Jacopo Ferrarotti, Sergio Decherchi, Walter Rocchia |
Distributed Kernel K-Means for Large Scale Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1710.03013, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP BibTeX RDF |
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13 | Yongkai Ye, Xinwang Liu 0002, Qiang Liu 0004, Jianping Yin |
Consensus Kernel K-Means Clustering for Incomplete Multiview Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Intell. Neurosci. ![In: Comput. Intell. Neurosci. 2017, pp. 3961718:1-3961718:11, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
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13 | Xinwang Liu 0002, Miaomiao Li, Lei Wang 0001, Yong Dou, Jianping Yin, En Zhu |
Multiple Kernel k-Means with Incomplete Kernels. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AAAI ![In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA., pp. 2259-2265, 2017, AAAI Press. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
13 | Felix Sommer, François Fouss, Marco Saerens |
Modularity-Driven Kernel k-means for Community Detection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN (2) ![In: Artificial Neural Networks and Machine Learning - ICANN 2017 - 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II, pp. 423-433, 2017, Springer, 978-3-319-68611-0. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
13 | Dino Oglic, Thomas Gärtner 0001 |
Nyström Method with Kernel K-means++ Samples as Landmarks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, pp. 2652-2660, 2017, PMLR. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP BibTeX RDF |
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13 | Yueqing Wang, Xinwang Liu 0002, Yong Dou, Rongchun Li |
Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCAI ![In: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017, pp. 3006-3012, 2017, ijcai.org, 978-0-9992411-0-3. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
13 | Mahesh Mohan, Claire Monteleoni |
Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCAI ![In: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017, pp. 2494-2500, 2017, ijcai.org, 978-0-9992411-0-3. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
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13 | Twan van Laarhoven, Elena Marchiori |
Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Mach. Learn. Res. ![In: J. Mach. Learn. Res. 17, pp. 147:1-147:28, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP BibTeX RDF |
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13 | Lu Jia, Ming Li 0004, Peng Zhang 0003, Yan Wu 0003, Huahui Zhu |
SAR Image Change Detection Based on Multiple Kernel K-Means Clustering With Local-Neighborhood Information. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Geosci. Remote. Sens. Lett. ![In: IEEE Geosci. Remote. Sens. Lett. 13(6), pp. 856-860, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
13 | Keng-Pei Lin |
Privacy-preserving kernel k-means clustering outsourcing with random transformation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Knowl. Inf. Syst. ![In: Knowl. Inf. Syst. 49(3), pp. 885-908, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
13 | Teng Li 0010, Yong Dou, Xinwang Liu 0002 |
Joint diversity regularization and graph regularization for multiple kernel k-means clustering via latent variables. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neurocomputing ![In: Neurocomputing 218, pp. 154-163, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
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13 | Shuyan Fan, Shifei Ding, Mingjing Du, Xiao Xu |
A Novel Locally Multiple Kernel k-means Based on Similarity. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Intelligent Information Processing ![In: Intelligent Information Processing VIII - 9th IFIP TC 12 International Conference, IIP 2016, Melbourne, VIC, Australia, November 18-21, 2016, Proceedings, pp. 22-30, 2016, 978-3-319-48389-4. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
13 | Yongkai Ye, Xinwang Liu 0002, Jianping Yin, En Zhu |
Co-regularized kernel k-means for multi-view clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPR ![In: 23rd International Conference on Pattern Recognition, ICPR 2016, Cancún, Mexico, December 4-8, 2016, pp. 1583-1588, 2016, IEEE, 978-1-5090-4847-2. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
13 | Xinwang Liu 0002, Yong Dou, Jianping Yin, Lei Wang 0001, En Zhu |
Multiple Kernel k-Means Clustering with Matrix-Induced Regularization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AAAI ![In: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA., pp. 1888-1894, 2016, AAAI Press, 978-1-57735-760-5. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
13 | Yang Zhao 0003, Yong Dou, Xinwang Liu 0002, Teng Li 0010 |
ELM based multiple kernel k-means with diversity-induced regularization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: 2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016, pp. 2699-2705, 2016, IEEE, 978-1-5090-0620-5. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
13 | T. Hitendra Sarma, P. Viswanath, Atul Negi |
Speeding-up the prototype based kernel k-means clustering method for large data sets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: 2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016, pp. 1903-1910, 2016, IEEE, 978-1-5090-0620-5. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
13 | Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis 0001, Ioannis Pitas |
Efficient MapReduce Kernel k-Means for Big Data Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SETN ![In: Proceedings of the 9th Hellenic Conference on Artificial Intelligence, SETN 2016, Thessaloniki, Greece, May 18-20, 2016, pp. 28:1-28:5, 2016, ACM, 978-1-4503-3734-2. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
13 | Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis 0001, Ioannis Pitas |
A distributed framework for trimmed Kernel k-Means clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Pattern Recognit. ![In: Pattern Recognit. 48(8), pp. 2685-2698, 2015. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP DOI BibTeX RDF |
|
13 | Meng Tang 0001, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov |
Secrets of GrabCut and Kernel K-means. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1506.07439, 2015. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP BibTeX RDF |
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