Search results for "Kernel-k-means"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
57	Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis	Kernel k-means: spectral clustering and normalized cuts.	KDD	2004	DBLP DOI BibTeX RDF	kernel k-means, graph partitioning, spectral clustering
51	Grigorios Tzortzis, Aristidis Likas	The global kernel k-means clustering algorithm.	IJCNN	2008	DBLP DOI BibTeX RDF
48	Alissar Nasser, Pierre-Alexandre Hébert, Denis Hamad	Clustering Evaluation in Feature Space.	ICANN (2)	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.	PRICAI	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.	PAKDD	2007	DBLP DOI BibTeX RDF
38	Julia Couto 0001	Kernel K-Means for Categorical Data.	IDA	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.	IJCNN	2008	DBLP DOI BibTeX RDF
29	Rong Zhang 0003, Alexander I. Rudnicky	A Large Scale Clustering Scheme for Kernel K-Means.	ICPR (4)	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.	Inf. Sci.	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.	CoRR	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.	ICML	2019	DBLP BibTeX RDF
25	Tao Zhou 0009, Yanning Zhang, Huiling Lu, Fang'an Deng, Fengxiao Wang	Rough Cluster Algorithm Based on Kernel Function.	RSKT	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.	ICSC	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.	ACM Multimedia	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.	CoRR	2020	DBLP BibTeX RDF
20	Rina Su, Yu Guo, Caiying Wu, Qiyu Jin, Tieyong Zeng	Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering.	CoRR	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.	Inf. Fusion	2023	DBLP DOI BibTeX RDF
20	Shota Saito	Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-means, and Heat Kernel.	CoRR	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.	ICASSP	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.	ICPR	2022	DBLP DOI BibTeX RDF
20	Shota Saito	Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel.	AAAI	2022	DBLP DOI BibTeX RDF
20	Qiyuan Ou, Long Gao, En Zhu	Multiple Kernel k-Means With Low-Rank Neighborhood Kernel.	IEEE Access	2021	DBLP DOI BibTeX RDF
20	Zhenwen Ren, Quansen Sun, Dong Wei 0007	Multiple Kernel Clustering with Kernel k-Means Coupled Graph Tensor Learning.	AAAI	2021	DBLP DOI BibTeX RDF
20	Kazushi Okamoto	Families of Triangular Norm-Based Kernel Functions and Their Application to Kernel k-Means.	J. Adv. Comput. Intell. Intell. Informatics	2017	DBLP DOI BibTeX RDF
20	Kazushi Okamoto	Families of Triangular Norm Based Kernel Function and Its Application to Kernel k-Means.	SCIS&ISIS	2016	DBLP DOI BibTeX RDF
20	Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis 0001, Ioannis Pitas	Kernel matrix trimming for improved Kernel K-means clustering.	ICIP	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.	CoRR	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.	IJCNN	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.	KDD	2011	DBLP DOI BibTeX RDF
19	Kaspar Riesen, Horst Bunke	Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs.	ANNPR	2008	DBLP DOI BibTeX RDF
17	Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis	Weighted Graph Cuts without Eigenvectors A Multilevel Approach.	IEEE Trans. Pattern Anal. Mach. Intell.	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.	GfKl	2006	DBLP DOI BibTeX RDF
15	Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney	Semi-supervised graph clustering: a kernel approach.	ICML	2005	DBLP DOI BibTeX RDF
13	Mohd. Noor Md. Sap, A. Majid Awan	Finding Spatio-Temporal Patterns in Climate Data Using Clustering.	CW	2005	DBLP DOI BibTeX RDF
13	Xin Guan, Yoshikazu Terada	Sparse kernel k-means for high-dimensional data.	Pattern Recognit.	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.	IEEE Trans. Cybern.	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.	IEEE Trans. Knowl. Data Eng.	2023	DBLP DOI BibTeX RDF
13	Cuiling Chen, Jian Wei, Zhi Li	Multiple kernel k-means clustering with block diagonal property.	Pattern Anal. Appl.	2023	DBLP DOI BibTeX RDF
13	Xinwang Liu 0002	SimpleMKKM: Simple Multiple Kernel K-Means.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	DBLP DOI BibTeX RDF
13	Xinwang Liu 0002	Hyperparameter-Free Localized Simple Multiple Kernel K-means With Global Optimum.	IEEE Trans. Pattern Anal. Mach. Intell.	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.	Appl. Intell.	2023	DBLP DOI BibTeX RDF
13	Bernd-Jürgen Falkowski	Improving a Kernel k-Means Iterative Algorithm.	CISP-BMEI	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.	IEEE Trans. Image Process.	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.	CIKM	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.	CIKM	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.	ICASSP	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.	ACM Multimedia	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.	AAAI	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.	NeurIPS	2022	DBLP BibTeX RDF
13	Li Chen, Shuisheng Zhou, Jiajun Ma, Mingliang Xu	Fast kernel k-means clustering using incomplete Cholesky factorization.	Appl. Math. Comput.	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.	Int. J. Imaging Syst. Technol.	2021	DBLP DOI BibTeX RDF
13	Yaqiang Yao, Yang Li 0066, Bingbing Jiang, Huanhuan Chen	Multiple Kernel k-Means Clustering by Selecting Representative Kernels.	IEEE Trans. Neural Networks Learn. Syst.	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.	ICCV	2021	DBLP DOI BibTeX RDF
13	Yujing Zhang, Siwei Wang 0001, En Zhu	Unified and View-Specific Multiple Kernel K-Means Clustering.	DEXA (1)	2021	DBLP DOI BibTeX RDF
13	Rong Wang 0001, Jitao Lu, Yihang Lu, Feiping Nie 0001, Xuelong Li 0001	Discrete Multiple Kernel k-means.	IJCAI	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.	J. Netw. Syst. Manag.	2020	DBLP DOI BibTeX RDF
13	Li Chen, Shuisheng Zhou, Jiajun Ma	Fast Kernel k-means Clustering Using Incomplete Cholesky Factorization.	CoRR	2020	DBLP BibTeX RDF
13	Yong Liu 0018, Lizhong Ding 0001, Weiping Wang 0005	Nearly Optimal Clustering Risk Bounds for Kernel K-Means.	CoRR	2020	DBLP BibTeX RDF
13	Liang Du 0003, Haiying Zhang, Xin Ren, Xiaolin Lv	Manifold Adaptive Multiple Kernel K-Means for Clustering.	CoRR	2020	DBLP BibTeX RDF
13	Xinwang Liu 0002, En Zhu, Jiyuan Liu 0003, Timothy M. Hospedales, Yang Wang 0023, Meng Wang 0001	SimpleMKKM: Simple Multiple Kernel K-means.	CoRR	2020	DBLP BibTeX RDF
13	Ahmed A. M. Jamel, Bahriye Akay	Human Activity Recognition Based on Parallel Approximation Kernel K-Means Algorithm.	Comput. Syst. Sci. Eng.	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.	J. Adv. Comput. Intell. Intell. Informatics	2020	DBLP DOI BibTeX RDF
13	Liang Du 0003, Haiying Zhang, Xin Ren, Xiaolin Lv	Manifold Adaptive Multiple Kernel K-Means for Clustering.	ACAI	2020	DBLP DOI BibTeX RDF
13	Bernd-Jürgen Falkowski	Maximum Likelihood Estimates and a Kernel k-Means Iterative Algorithm for Normal Mixtures.	IECON	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.	AAAI	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.	J. Mach. Learn. Res.	2019	DBLP BibTeX RDF
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.	IEEE Access	2019	DBLP DOI BibTeX RDF
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.	IEEE Access	2019	DBLP DOI BibTeX RDF
13	Daniele Calandriello, Lorenzo Rosasco	Statistical and Computational Trade-Offs in Kernel K-Means.	CoRR	2019	DBLP BibTeX RDF
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).	计算机科学	2019	DBLP DOI BibTeX RDF
13	Mohammed Baydoun, Hassan Ghaziri, Mohammed Al-Husseini	CPU and GPU parallelized kernel K-means.	J. Supercomput.	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.	Int. J. Artif. Intell. Tools	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.	J. Informetrics	2018	DBLP DOI BibTeX RDF
13	Yaqiang Yao, Huanhuan Chen	Multiple Kernel k-Means Clustering by Selecting Representative Kernels.	CoRR	2018	DBLP BibTeX RDF
13	Seo-Jin Bang, Wei Wu 0023	Multiple Kernel k-means Clustering using Min-Max Optimization with l2 Regularization.	CoRR	2018	DBLP BibTeX RDF
13	Shifei Ding, Xiao Xu, Shuyan Fan, Yu Xue 0004	Locally adaptive multiple kernel k-means algorithm based on shared nearest neighbors.	Soft Comput.	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.	Soft Comput.	2018	DBLP DOI BibTeX RDF
13	Li He 0002, Hong Zhang 0013	Kernel K-Means Sampling for Nyström Approximation.	IEEE Trans. Image Process.	2018	DBLP DOI BibTeX RDF
13	Daniele Calandriello, Lorenzo Rosasco	Statistical and Computational Trade-Offs in Kernel K-Means.	NeurIPS	2018	DBLP BibTeX RDF
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.	IJCAI	2018	DBLP DOI BibTeX RDF
13	Shusen Wang, Alex Gittens, Michael W. Mahoney	Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds.	CoRR	2017	DBLP BibTeX RDF
13	Marco Jacopo Ferrarotti, Sergio Decherchi, Walter Rocchia	Distributed Kernel K-Means for Large Scale Clustering.	CoRR	2017	DBLP BibTeX RDF
13	Yongkai Ye, Xinwang Liu 0002, Qiang Liu 0004, Jianping Yin	Consensus Kernel K-Means Clustering for Incomplete Multiview Data.	Comput. Intell. Neurosci.	2017	DBLP DOI BibTeX RDF
13	Xinwang Liu 0002, Miaomiao Li, Lei Wang 0001, Yong Dou, Jianping Yin, En Zhu	Multiple Kernel k-Means with Incomplete Kernels.	AAAI	2017	DBLP DOI BibTeX RDF
13	Felix Sommer, François Fouss, Marco Saerens	Modularity-Driven Kernel k-means for Community Detection.	ICANN (2)	2017	DBLP DOI BibTeX RDF
13	Dino Oglic, Thomas Gärtner 0001	Nyström Method with Kernel K-means++ Samples as Landmarks.	ICML	2017	DBLP BibTeX RDF
13	Yueqing Wang, Xinwang Liu 0002, Yong Dou, Rongchun Li	Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network.	IJCAI	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.	IJCAI	2017	DBLP DOI BibTeX RDF
13	Twan van Laarhoven, Elena Marchiori	Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means.	J. Mach. Learn. Res.	2016	DBLP BibTeX RDF
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.	IEEE Geosci. Remote. Sens. Lett.	2016	DBLP DOI BibTeX RDF
13	Keng-Pei Lin	Privacy-preserving kernel k-means clustering outsourcing with random transformation.	Knowl. Inf. Syst.	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.	Neurocomputing	2016	DBLP DOI BibTeX RDF
13	Shuyan Fan, Shifei Ding, Mingjing Du, Xiao Xu	A Novel Locally Multiple Kernel k-means Based on Similarity.	Intelligent Information Processing	2016	DBLP DOI BibTeX RDF
13	Yongkai Ye, Xinwang Liu 0002, Jianping Yin, En Zhu	Co-regularized kernel k-means for multi-view clustering.	ICPR	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.	AAAI	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.	IJCNN	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.	IJCNN	2016	DBLP DOI BibTeX RDF
13	Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis 0001, Ioannis Pitas	Efficient MapReduce Kernel k-Means for Big Data Clustering.	SETN	2016	DBLP DOI BibTeX RDF
13	Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis 0001, Ioannis Pitas	A distributed framework for trimmed Kernel k-Means clustering.	Pattern Recognit.	2015	DBLP DOI BibTeX RDF
13	Meng Tang 0001, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov	Secrets of GrabCut and Kernel K-means.	CoRR	2015	DBLP BibTeX RDF