Clustering

Learning with Hypergraphs: Clustering, Classification, and Embedding NeurIPS 2006 Online Clustering of Moving Hyperplanes NeurIPS 2006 On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts NeurIPS 2006 Part-based Probabilistic Point Matching using Equivalence Constraints NeurIPS 2006 PG-means: learning the number of clusters in data NeurIPS 2006 Rearrangement Clustering: Pitfalls, Remedies, and Applications JMLR 2006 Recursive Attribute Factoring NeurIPS 2006 Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach NeurIPS 2006 Simplifying Mixture Models through Function Approximation NeurIPS 2006 Stability of K-Means Clustering NeurIPS 2006 Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NeurIPS 2006 A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior JMLR 2005 Clustering on the Unit Hypersphere using von Mises-Fisher Distributions JMLR 2005 Clustering with Bregman Divergences JMLR 2005 Generalization Bounds and Complexities Based on Sparsity and Clustering for Convex Combinations of Functions from Random Classes JMLR 2005 Learning a Mahalanobis Metric from Equivalence Constraints JMLR 2005 Distributional Scaling: An Algorithm for Structure-Preserving Embedding of Metric and Nonmetric Spaces JMLR 2004 Feature Selection for Unsupervised Learning JMLR 2004 Hierarchical Latent Class Models for Cluster Analysis JMLR 2004 A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification JMLR 2003 A Unified Framework for Model-based Clustering JMLR 2003 Distributional Word Clusters vs. Words for Text Categorization JMLR 2003 Latent Dirichlet Allocation JMLR 2003 Sufficient Dimensionality Reduction JMLR 2003 Task Clustering and Gating for Bayesian Multitask Learning JMLR 2003