Clustering

Mixed Membership Stochastic Blockmodels NeurIPS 2008 Mixed Membership Stochastic Blockmodels JMLR 2008 On the Reliability of Clustering Stability in the Large Sample Regime NeurIPS 2008 Regularized Co-Clustering with Dual Supervision NeurIPS 2008 Spectral Clustering with Perturbed Data NeurIPS 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008 A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation JMLR 2007 A Nonparametric Statistical Approach to Clustering via Mode Identification JMLR 2007 A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians JMLR 2007 A Unified Continuous Optimization Framework for Center-Based Clustering Methods JMLR 2007 A Unified Near-Optimal Estimator For Dimension Reduction in l_α (0<α≤ 2) Using Stable Random Projections NeurIPS 2007 Bayesian Agglomerative Clustering with Coalescents NeurIPS 2007 Cluster Stability for Finite Samples NeurIPS 2007 Consistent Minimization of Clustering Objective Functions NeurIPS 2007 Convex Clustering with Exemplar-Based Models NeurIPS 2007 Cooled and Relaxed Survey Propagation for MRFs NeurIPS 2007 DIFFRAC: a discriminative and flexible framework for clustering NeurIPS 2007 Discriminative K-means for Clustering NeurIPS 2007 Ensemble Clustering using Semidefinite Programming NeurIPS 2007 Expectation Maximization and Posterior Constraints NeurIPS 2007 Infinite State Bayes-Nets for Structured Domains NeurIPS 2007 Learning the structure of manifolds using random projections NeurIPS 2007 Learning with Tree-Averaged Densities and Distributions NeurIPS 2007 Nearest-Neighbor-Based Active Learning for Rare Category Detection NeurIPS 2007 Penalized Model-Based Clustering with Application to Variable Selection JMLR 2007