Search results for "supervised"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
56	Shi Zhong	Semi-supervised model-based document clustering: A comparative study.	Mach. Learn.	2006	DBLP DOI BibTeX RDF	Seeded clustering, Clustering with feedback, Semi-supervised clustering, Model-based clustering, Deterministic annealing, Constrained clustering
51	Hamed Valizadegan, Rong Jin 0001, Anil K. Jain 0001	Semi-Supervised Boosting for Multi-Class Classification.	ECML/PKDD (2)	2008	DBLP DOI BibTeX RDF	Semi-supervised learning, Boosting, Multi-Class Classification
47	Shipeng Yu, Kai Yu 0001, Volker Tresp, Hans-Peter Kriegel, Mingrui Wu	Supervised probabilistic principal component analysis.	KDD	2006	DBLP DOI BibTeX RDF	semi-supervised projection, supervised projection, principal component analysis, dimensionality reduction
47	Julia Handl, Joshua D. Knowles	On semi-supervised clustering via multiobjective optimization.	GECCO	2006	DBLP DOI BibTeX RDF	multiobjective clustering, multiobjective machine learning, semi-supervised learning, semi-supervised clustering
46	Chi Su, Yang Gao 0001, Chun Cao	Learning classifier system using both labeled and unlabeled data.	GECCO	2010	DBLP DOI BibTeX RDF	semi-supervised learning, learning classifier system
44	ErHeng Zhong, Sihong Xie, Wei Fan 0001, Jiangtao Ren, Jing Peng 0001, Kun Zhang 0012	Graph-Based Iterative Hybrid Feature Selection.	ICDM	2008	DBLP DOI BibTeX RDF
42	Kamal R. Al-Rawi	Supervised ART-I: A New Neural Network Architecture for Learning and Classifying Multi-valued Input Patterns.	IWANN (1)	1999	DBLP DOI BibTeX RDF	Supervised ART, Neural Network, Classification, Supervised learning, ART
42	Rui Zhang, Wenjian Wang, Yi-Chen Ma, Changqian Men	Least Square Transduction Support Vector Machine.	Neural Process. Lett.	2009	DBLP DOI BibTeX RDF	Least square transduction support vector machine, Transductive support vector machine, Semi-supervised learning, Supervised learning, Least square support vector machine
42	Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang	Learning the unified kernel machines for classification.	KDD	2006	DBLP DOI BibTeX RDF	kernel logistic regressions, spectral kernel learning, unsupervised kernel design, classification, active learning, semi-supervised learning, supervised learning, kernel machines
41	Mingjie Qian, Feiping Nie 0001, Changshui Zhang	Efficient multi-class unlabeled constrained semi-supervised SVM.	CIKM	2009	DBLP DOI BibTeX RDF	dual coordinate descent method, multi-class categorization, multi-class laplacian svm, multi-class svm, multi-class ucsvm, semi-supervised learning
41	Umut Orhan, Mahmut Hekim, Turgay Ibrikci	Supervised Gravitational Clustering with Bipolar Fuzzification.	ICIC (2)	2008	DBLP DOI BibTeX RDF	supervised gravitational clustering, bipolar fuzzy, K-means, fuzzy C-means
41	Gregory Druck, Chris Pal, Andrew McCallum, Xiaojin Zhu 0001	Semi-supervised classification with hybrid generative/discriminative methods.	KDD	2007	DBLP DOI BibTeX RDF	hybrid generative/discriminative methods, text classification, semi-supervised learning
41	Kun Zhao, Yingjie Tian 0001, Naiyang Deng	Unsupervised and Semi-supervised Lagrangian Support Vector Machines.	International Conference on Computational Science (3)	2007	DBLP DOI BibTeX RDF	Lagrangian Support Vector Machines, semi-supervised learning, unsupervised learning, margin, Semi-definite Programming
41	Meng Wang 0001, Yan Song 0001, Xun Yuan 0001, HongJiang Zhang, Xian-Sheng Hua 0001, Shipeng Li 0001	Automatic video annotation by semi-supervised learning with kernel density estimation.	ACM Multimedia	2006	DBLP DOI BibTeX RDF	SSLKDE, semi-supervised learning, video annotation, kernel density estimation
41	Hui Xiong 0001, Michael S. Steinbach, Vipin Kumar 0001	Privacy leakage in multi-relational databases via pattern based semi-supervised learning.	CIKM	2005	DBLP DOI BibTeX RDF	semi-supervised learning, database security, privacy preserving data mining, hyperclique patterns
40	Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Günther Palm	Semi-supervised Learning for Regression with Co-training by Committee.	ICANN (1)	2009	DBLP DOI BibTeX RDF
40	Wuyi Yang, Shuwu Zhang, Wei Liang 0009	A Graph Based Subspace Semi-supervised Learning Framework for Dimensionality Reduction.	ECCV (2)	2008	DBLP DOI BibTeX RDF
40	Yao Chen, Yuntao Qian	Semi-supervised Dynamic Counter Propagation Network.	ADMA	2006	DBLP DOI BibTeX RDF
39	Zhi-Hua Zhou, Ming Li 0005	Semisupervised Regression with Cotraining-Style Algorithms.	IEEE Trans. Knowl. Data Eng.	2007	DBLP DOI BibTeX RDF	Data mining, Machine learning
37	Cédric Wemmert, Germain Forestier, Sébastien Derivaux	Improving Supervised Learning with Multiple Clusterings.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
37	Tijl De Bie, Nello Cristianini	Semi-Supervised Learning Using Semi-Definite Programming.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
37	Kamal Nigam, Andrew McCallum, Tom M. Mitchell	Semi-Supervised Text Classification Using EM.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
37	Matthias W. Seeger	A Taxonomy for Semi-Supervised Learning Methods.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
37	Jason Weston, Christina S. Leslie, Eugene Ie, William Stafford Noble	Semi-Supervised Protein Classification Using Cluster Kernels.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
37	Vikas Sindhwani, Misha Belkin, Partha Niyogi	The Geometric Basis of Semi-Supervised Learning.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
37	Olivier Chapelle, Bernhard Schölkopf, Alexander Zien	Introduction to Semi-Supervised Learning.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
37	Dale Schuurmans, Finnegan Southey, Dana F. Wilkinson, Yuhong Guo	Metric-Based Approaches for Semi-Supervised Regression and Classification.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
37	Fábio Gagliardi Cozman, Ira Cohen	Risks of Semi-Supervised Learning: How Unlabeled Data Can Degrade Performance of Generative Classifiers.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
37	Maria-Florina Balcan, Avrim Blum	An Augmented PAC Model for Semi-Supervised Learning.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
37	Sugato Basu, Mikhail Bilenko, Arindam Banerjee 0001, Raymond J. Mooney	Probabilistic Semi-Supervised Clustering with Constraints.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
37	Christopher J. C. Burges, John C. Platt	Semi-Supervised Learning with Conditional Harmonic Mixing.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
37	Vladimir Vapnik	Transductive Inference and Semi-Supervised Learning.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
37	Olivier Chapelle, Bernhard Schölkopf, Alexander Zien	A Discussion of Semi-Supervised Learning and Transduction.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
37	Borisas Bursteinas, James Allen Long	Transforming supervised classifiers for feature extraction.	ICTAI	2000	DBLP DOI BibTeX RDF	supervised classifiers, supervised linear feature extraction algorithm, class labels, extracted feature quality evaluation, multivariate decision trees, classifier induction, feature subset evaluation, wrapper model method, algorithm performance evaluation, data mining, learning (artificial intelligence), feature extraction, feature selection, decision trees, pattern classification, software performance evaluation, computation time, very large databases, computational efficiency, data classification, large databases
36	Xiangnan Kong, Philip S. Yu	Semi-supervised feature selection for graph classification.	KDD	2010	DBLP DOI BibTeX RDF	data mining, feature selection, semi-supervised learning, graph classification
36	Zhuhong You, Shanwen Zhang, Liping Li	Integration of Genomic and Proteomic Data to Predict Synthetic Genetic Interactions Using Semi-supervised Learning.	ICIC (2)	2009	DBLP DOI BibTeX RDF	Genetic Interaction, Functional Gene network, Network Property, Semi-supervised learning
36	Vonda H. Miller, Ben H. Jansen	Oscillatory neural network for pattern recognition: trajectory based classification and supervised learning.	Biol. Cybern.	2008	DBLP DOI BibTeX RDF	Oscillatory, Neural networks, Classification, EEG, Supervised learning, Trajectory
36	Yi Hong 0002, Sam Kwong, Hui Xiong 0001, Qingsheng Ren	Genetic-guided semi-supervised clustering algorithm with instance-level constraints.	GECCO	2008	DBLP DOI BibTeX RDF	genetic algorithms, semi-supervised clustering
36	Grant Anderson, Bernhard Pfahringer	Exploiting Propositionalization Based on Random Relational Rules for Semi-supervised Learning.	PAKDD	2008	DBLP DOI BibTeX RDF	semi-supervised, randomization, propositionalization
36	Jiangtao Ren, Zhengyuan Qiu, Wei Fan 0001, Hong Cheng 0001, Philip S. Yu	Forward Semi-supervised Feature Selection.	PAKDD	2008	DBLP DOI BibTeX RDF	feature selection, semi-supervised learning
36	Yuting Liu, Tie-Yan Liu, Tao Qin 0001, Zhiming Ma, Hang Li 0001	Supervised rank aggregation.	WWW	2007	DBLP DOI BibTeX RDF	semidefinite progromming, Markov chain, supervised learning, rank aggregation
36	Michele Ceccarelli, Antonio Maratea	Semi-supervised Fuzzy c-Means Clustering of Biological Data.	WILF	2005	DBLP DOI BibTeX RDF	Adaptive Metric, Semi-Supervised Learning, Fuzzy Clustering, Validity Index
36	Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk	A Semi-Supervised Learning Method for Remote Sensing Data Mining.	ICTAI	2005	DBLP DOI BibTeX RDF	semi-supervised learning, GMM, EM, MAP, MLE
36	Ricardo Barandela, Eduardo Gasca	Decontamination of Training Samples for Supervised Pattern Recognition Methods.	SSPR/SPR	2000	DBLP DOI BibTeX RDF	Supervised methods, depuration methodology, generalized edition, learning, Nearest neighbor classifier
36	Eunju Kim, Yu Song, Cheongjae Lee, Kyungduk Kim, Gary Geunbae Lee, Byoung-Kee Yi, Jeongwon Cha	Two-phase learning for biological event extraction and verification.	ACM Trans. Asian Lang. Inf. Process.	2006	DBLP DOI BibTeX RDF	Biological event extraction, event component verification, two-level supervised machine learning
35	Linli Xu, Martha White, Dale Schuurmans	Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning.	ICML	2009	DBLP DOI BibTeX RDF
35	Jianchao Yang, Shuicheng Yan, Thomas S. Huang	Ubiquitously Supervised Subspace Learning.	IEEE Trans. Image Process.	2009	DBLP DOI BibTeX RDF
35	Alexis Bondu, Marc Boullé, Vincent Lemaire 0001, Stéphane Loiseau, Béatrice Duval	A Non-parametric Semi-supervised Discretization Method.	ICDM	2008	DBLP DOI BibTeX RDF
35	Chunyang Su, Shifei Ding, Weikuan Jia, Xin Wang, Xinzheng Xu	Some Progress of Supervised Learning.	ICIC (2)	2008	DBLP DOI BibTeX RDF
35	Bin Fan, Zhen Lei 0001, Stan Z. Li	Normalized LDA for semi-supervised learning.	FG	2008	DBLP DOI BibTeX RDF
35	Chee Siong Teh, Zahan Tapan Md. Sarwar	A hybrid supervised ANN for classification and data visualization.	IJCNN	2008	DBLP DOI BibTeX RDF
35	Hui Xiong 0001, Michael S. Steinbach, Vipin Kumar 0001	Privacy leakage in multi-relational databases: a semi-supervised learning perspective.	VLDB J.	2006	DBLP DOI BibTeX RDF
35	Soumya Ray, Mark Craven	Supervised versus multiple instance learning: an empirical comparison.	ICML	2005	DBLP DOI BibTeX RDF
32	Jesús Maudes, Juan J. Rodríguez Diez, César Ignacio García-Osorio	Disturbing Neighbors Diversity for Decision Forests.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
32	Francesco Gargiulo 0001, Antonio Penta, Antonio Picariello, Carlo Sansone	A Personal Antispam System Based on a Behaviour-Knowledge Space Approach.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
32	Muna Al-Razgan, Carlotta Domeniconi	Clustering Ensembles with Active Constraints.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
32	Pedro Gago, Manuel Filipe Santos	Evaluating Hybrid Ensembles for Intelligent Decision Support for Intensive Care.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
32	Sebastian Nusser, Clemens Otte, Werner Hauptmann	Verifiable Ensembles of Low-Dimensional Submodels for Multi-class Problems with Imbalanced Misclassification Costs.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
32	Georg Krempl, Vera Hofer	Partitioner Trees for Classification: A New Ensemble Method.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
32	Angelo Ciaramella, Giulio Giunta, Angelo Riccio, Stefano Galmarini	Independent Data Model Selection for Ensemble Dispersion Forecasting.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
32	Terry Windeatt	Weighted Decoding ECOC for Facial Action Unit Classification.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
32	Grigorios Tsoumakas, Ioannis Partalas, Ioannis P. Vlahavas	An Ensemble Pruning Primer.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
32	Gabriele Lombardi, Elena Casiraghi, Paola Campadelli	The Neighbors Voting Algorithm and Its Applications.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
32	Matteo Re, Giorgio Valentini	Prediction of Gene Function Using Ensembles of SVMs and Heterogeneous Data Sources.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
32	Erinija Pranckeviciene	Integrating Liknon Feature Selection and Committee Training.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
32	Battista Biggio, Giorgio Fumera, Fabio Roli	Evade Hard Multiple Classifier Systems.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
32	Olivier Chapelle, Bernhard Schölkopf, Alexander Zien	Analysis of Benchmarks.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
32	Yves Grandvalet, Yoshua Bengio	Entropy Regularization.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
32	Lawrence K. Saul, Kilian Q. Weinberger, Fei Sha, Jihun Ham, Daniel D. Lee	Spectral Methods for Dimensionality Reduction.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
32	Alon Orlitsky	Modifying Distances.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
32	Adrian Corduneanu, Tommi S. Jaakkola	Data-Dependent Regularization.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
32	Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux	Label Propagation and Quadratic Criterion.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
32	Xiaojin Zhu 0001, Jaz S. Kandola, John Lafferty, Zoubin Ghahramani	Graph Kernels by Spectral Transforms.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
32	Hyunjung Shin, Koji Tsuda	Prediction of Protein Function from Networks.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
32	Neil D. Lawrence, Michael I. Jordan	Gaussian Processes and the Null-Category Noise Model.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
32	Olivier Delalleau, Yoshua Bengio, Nicolas Le Roux	Large-Scale Algorithms.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
32	Dengyong Zhou, Bernhard Schölkopf	Discrete Regularization.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
32	Thorsten Joachims	Transductive Support Vector Machines.	Semi-Supervised Learning	2006	DBLP DOI BibTeX RDF
32	Yanjun Qi, Ronan Collobert, Pavel P. Kuksa, Koray Kavukcuoglu, Jason Weston	Combining labeled and unlabeled data with word-class distribution learning.	CIKM	2009	DBLP DOI BibTeX RDF	semi-supervised feature learning, information extraction, semi-supervised learning, name entity recognition
32	Donghai Guan, Young-Koo Lee, Sungyoung Lee	Activity recognition with the aid of unlabeled samples.	ICUIMC	2009	DBLP DOI BibTeX RDF	semi-supervised learning, supervised learning, activity recognition, noise filtering
32	Etienne Côme, Latifa Oukhellou, Thierry Denoeux, Patrice Aknin	Mixture Model Estimation with Soft Labels.	SMPS	2008	DBLP DOI BibTeX RDF	Partially supervised learning, Clustering, Classification, Semi-supervised learning, EM algorithm, Mixture models, Dempster-Shafer theory, Transferable Belief Model
31	Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr., Tom M. Mitchell	Coupled semi-supervised learning for information extraction.	WSDM	2010	DBLP DOI BibTeX RDF	bootstrap learning, information extraction, web mining, semi-supervised learning
31	Yu Xia	A global optimization method for semi-supervised clustering.	Data Min. Knowl. Discov.	2009	DBLP DOI BibTeX RDF	Instance-level constraints, Concavity cuts, Global optimization, Semi-supervised clustering, Partitional clustering
31	Ye-Yi Wang, Raphael Hoffmann, Xiao Li 0006, Jakub Szymanski	Semi-supervised learning of semantic classes for query understanding: from the web and for the web.	CIKM	2009	DBLP DOI BibTeX RDF	html lists, lexicon acquisition/set expansion, model over-fitting, query understanding/semantic tagging, information extraction, semi-supervised learning, conditional random fields
31	Si Chen, Gongde Guo, Lifei Chen	Semi-supervised Classification Based on Clustering Ensembles.	AICI	2009	DBLP DOI BibTeX RDF	clustering consistency, classification, semi-supervised learning, clustering ensembles
31	Lei Zheng, Shaojun Wang, Yan Liu 0008, Chi-Hoon Lee	Information theoretic regularization for semi-supervised boosting.	KDD	2009	DBLP DOI BibTeX RDF	semi-supervised learning, ensemble
31	Kun Zhao, Yingjie Tian 0001, Naiyang Deng	Robust Unsupervised and Semi-supervised Bounded v - Support Vector Machines.	ISNN (2)	2009	DBLP DOI BibTeX RDF	Bounded ?? support vector machines, Robust, Semi-supervised learning, Unsupervised learning, Semi-definite programming
31	Jiani Hu, Weihong Deng, Jun Guo 0002	Semi-supervised Learning Based on Label Propagation through Submanifold.	ISNN (1)	2009	DBLP DOI BibTeX RDF	K-nearest neighbor graph, Classification, Semi-supervised learning, Quadratic program
31	Héctor Allende-Cid, Jorge Mendoza, Héctor Allende, Enrique Canessa	Semi-supervised Robust Alternating AdaBoost.	CIARP	2009	DBLP DOI BibTeX RDF	Machine ensembles, Robust Alternating AdaBoost, Semi-Supervised Learning, Expectation Maximization
31	Xiao Li 0006, Ye-Yi Wang, Alex Acero	Extracting structured information from user queries with semi-supervised conditional random fields.	SIGIR	2009	DBLP DOI BibTeX RDF	metadata, information extraction, semi-supervised learning, conditional random fields
31	Yuanqing Li, Cuntai Guan	Joint feature re-extraction and classification using an iterative semi-supervised support vector machine algorithm.	Mach. Learn.	2008	DBLP DOI BibTeX RDF	Rayleigh coefficient, Supporter vector machine (SVM), Feature extraction, Semi-supervised learning, Model selection
31	Inae Choi, Hyunjung Shin	Semi-supervised Learning with Ensemble Learning and Graph Sharpening.	IDEAL	2008	DBLP DOI BibTeX RDF	Graph sharpening, Hyperparameter selection, Semi-supervised learning, Ensemble learning, Noise reduction
31	Haibin Cheng, Pang-Ning Tan	Semi-supervised learning with data calibration for long-term time series forecasting.	KDD	2008	DBLP DOI BibTeX RDF	semi-supervised learning, time series prediction
31	Guo-Zhu Wen, De-Shuang Huang	A Novel Spike Sorting Method Based on Semi-supervised Learning.	ICIC (2)	2008	DBLP DOI BibTeX RDF	Spike Sorting, Self-organizing Map, Manifold Learning, Semi-supervised Clustering, Affinity Propagation
31	Maoqiang Xie, Jinli Liu, Nan Zheng, Dong Li, Yalou Huang, Yang Wang 0017	Semi-Supervised Graph-Ranking for Text Retrieval.	AIRS	2008	DBLP DOI BibTeX RDF	Semi-Supervised Ranking, Graph Ranking, Text Retrieval
31	Naeem Seliya, Taghi M. Khoshgoftaar	Software quality estimation with limited fault data: a semi-supervised learning perspective.	Softw. Qual. J.	2007	DBLP DOI BibTeX RDF	Software quality estimation, Software metrics, Semi-supervised learning, Expectation maximization, Unlabeled data
31	Wei Tang, Hui Xiong 0001, Shi Zhong, Jie Wu 0001	Enhancing semi-supervised clustering: a feature projection perspective.	KDD	2007	DBLP DOI BibTeX RDF	feature projection, pairwise instance constraints, semi-supervised clustering
31	Heidy Marisol Marín Castro, Luis Enrique Sucar, Eduardo F. Morales 0001	Automatic Image Annotation Using a Semi-supervised Ensemble of Classifiers.	CIARP	2007	DBLP DOI BibTeX RDF	Semi-supervised Learning, AdaBoost, Ensembles, Automatic image annotation
31	Zhi-Hua Zhou	Multi-Instance Learning from Supervised View.	J. Comput. Sci. Technol.	2006	DBLP DOI BibTeX RDF	multi-instance ensemble, machine learning, supervised learning, ensemble learning, multi-instance learning
31	Korris Fu-Lai Chung, Shitong Wang 0001, Zhaohong Deng, Chen Shu, Dewen Hu	Clustering Analysis of Gene Expression Data based on Semi-supervised Visual Clustering Algorithm.	Soft Comput.	2006	DBLP DOI BibTeX RDF	Gradient system, Semi-supervised learning, Clustering analysis, Gene expression data, Visual clustering