Clustering Genes Using Gene Expression and Text Literature Data
CSB '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference
Graph based multi-modality learning
Proceedings of the 13th annual ACM international conference on Multimedia
Efficient co-regularised least squares regression
ICML '06 Proceedings of the 23rd international conference on Machine learning
Fuzzy clustering in parallel universes
International Journal of Approximate Reasoning
KCK-Means: A Clustering Method Based on Kernel Canonical Correlation Analysis
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Metastructural facets of granular computing
International Journal of Knowledge Engineering and Soft Data Paradigms
Web image retrieval reranking with multi-view clustering
Proceedings of the 18th international conference on World wide web
Multiview clustering: a late fusion approach using latent models
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A Matrix Factorization Approach for Integrating Multiple Data Views
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Detection of orthogonal concepts in subspaces of high dimensional data
Proceedings of the 18th ACM conference on Information and knowledge management
Multiple view semi-supervised dimensionality reduction
Pattern Recognition
Convex Mixture Models for Multi-view Clustering
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Tensor Framework and Combined Symmetry for Hypertext Mining
Fundamenta Informaticae
Point-distribution algorithm for mining vector-item patterns
Proceedings of the ACM SIGKDD Workshop on Useful Patterns
Learning in parallel universes
Data Mining and Knowledge Discovery
Multi-view clustering of multilingual documents
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Exploiting tag and word correlations for improved webpage clustering
SMUC '10 Proceedings of the 2nd international workshop on Search and mining user-generated contents
Stacking class probabilities obtained from view-based cluster ensembles
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Multiple view clustering using a weighted combination of exemplar-based mixture models
IEEE Transactions on Neural Networks
Neurocomputing
Combinatorial markov random fields
ECML'06 Proceedings of the 17th European conference on Machine Learning
Clustering multi-represented objects using combination trees
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Estimation of mixture models using Co-EM
ECML'05 Proceedings of the 16th European conference on Machine Learning
Hybrid clustering of multiple information sources via HOSVD
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Privileged information for data clustering
Information Sciences: an International Journal
Community detection via heterogeneous interaction analysis
Data Mining and Knowledge Discovery
Multi-view learning via probabilistic latent semantic analysis
Information Sciences: an International Journal
Maximum Common Subgraph based locally weighted regression
Proceedings of the 27th Annual ACM Symposium on Applied Computing
An application of the self-organizing map to multiple view unsupervised learning
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Web Page Clustering
ACM Transactions on Intelligent Systems and Technology (TIST)
Discriminative clustering for market segmentation
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
An effective ensemble method for hierarchical clustering
Proceedings of the Fifth International C* Conference on Computer Science and Software Engineering
Tensor Framework and Combined Symmetry for Hypertext Mining
Fundamenta Informaticae
An architecture to efficiently learn co-similarities from multi-view datasets
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Regularized nonnegative shared subspace learning
Data Mining and Knowledge Discovery
Parameter-less co-clustering for star-structured heterogeneous data
Data Mining and Knowledge Discovery
Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis
International Journal of Knowledge Discovery in Bioinformatics
Outlier ensembles: position paper
ACM SIGKDD Explorations Newsletter
Local 3d symmetry for visual saliency in 2.5d point clouds
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Co-regularized PLSA for multi-view clustering
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Flexible and robust co-regularized multi-domain graph clustering
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-source deep learning for information trustworthiness estimation
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
One theme in all views: modeling consensus topics in multiple contexts
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Neighborhood Correlation Analysis for Semi-paired Two-View Data
Neural Processing Letters
Co-metric: a metric learning algorithm for data with multiple views
Frontiers of Computer Science: Selected Publications from Chinese Universities
Multi-view maximum entropy discrimination
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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We consider clustering problems in which the available attributes can be split into two independent subsets, such that either subset suffices for learning. Example applications of this multi-view setting include clustering of web pages which have an intrinsic view (the pages themselves) and an extrinsic view (e.g., anchor texts of inbound hyperlinks); multi-view learning has so far been studied in the context of classification. We develop and study partitioning and agglomerative, hierarchical multi-view clustering algorithms for text data. We find empirically that the multi-view versions of k-Means and EM greatly improve on their single-view counterparts. By contrast, we obtain negative results for agglomerative hierarchical multi-view clustering. Our analysis explains this surprising phenomenon.