Clustering

Modelling Relational Data using Bayesian Clustered Tensor Factorization NeurIPS 2009 Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions JMLR 2009 Optimal Scoring for Unsupervised Learning NeurIPS 2009 Reading Tea Leaves: How Humans Interpret Topic Models NeurIPS 2009 Streaming k-means approximation NeurIPS 2009 The Ordered Residual Kernel for Robust Motion Subspace Clustering NeurIPS 2009 The Wisdom of Crowds in the Recollection of Order Information NeurIPS 2009 Unsupervised discovery of object classes from range data using latent Dirichlet allocation RSS 2009 Unsupervised Feature Selection for the k-means Clustering Problem NeurIPS 2009 A mixture model for the evolution of gene expression in non-homogeneous datasets NeurIPS 2008 An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering NeurIPS 2008 Classifying Dynamic Objects: An Unsupervised Learning Approach RSS 2008 Clustered Multi-Task Learning: A Convex Formulation NeurIPS 2008 Clustering Sensor Data for Terrain Identification using a Windowless Algorithm RSS 2008 Clustering via LP-based Stabilities NeurIPS 2008 Cyclizing Clusters via Zeta Function of a Graph NeurIPS 2008 Dependent Dirichlet Process Spike Sorting NeurIPS 2008 Distributed Localization of Modular Robot Ensembles RSS 2008 Generalization from Observed to Unobserved Features by Clustering JMLR 2008 Hit Miss Networks with Applications to Instance Selection JMLR 2008 Implicit Mixtures of Restricted Boltzmann Machines NeurIPS 2008 Influence of graph construction on graph-based clustering measures NeurIPS 2008 Learning Taxonomies by Dependence Maximization NeurIPS 2008 MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features NeurIPS 2008 Measures of Clustering Quality: A Working Set of Axioms for Clustering NeurIPS 2008