Clustering

Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NeurIPS 2010 Characterization, Stability and Convergence of Hierarchical Clustering Methods JMLR 2010 Deterministic Single-Pass Algorithm for LDA NeurIPS 2010 Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting JMLR 2010 Dirichlet Process Mixtures of Generalized Linear Models AISTATS 2010 Discriminative Clustering by Regularized Information Maximization NeurIPS 2010 Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NeurIPS 2010 Fast detection of multiple change-points shared by many signals using group LARS NeurIPS 2010 Fast Large-scale Mixture Modeling with Component-specific Data Partitions NeurIPS 2010 Hartigan’s Method: k-means Clustering without Voronoi AISTATS 2010 Hierarchical Convex NMF for Clustering Massive Data ACML 2010 Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch NeurIPS 2010 Infinite Relational Modeling of Functional Connectivity in Resting State fMRI NeurIPS 2010 Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance JMLR 2010 Joint Analysis of Time-Evolving Binary Matrices and Associated Documents NeurIPS 2010 Matrix-Variate Dirichlet Process Mixture Models AISTATS 2010 Minimum Average Cost Clustering NeurIPS 2010 Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering ACML 2010 Mining Recurring Concept Drifts with Limited Labeled Streaming Data ACML 2010 Movement extraction by detecting dynamics switches and repetitions NeurIPS 2010 PAC-Bayesian Analysis of Co-clustering and Beyond JMLR 2010 Practical Large-Scale Optimization for Max-norm Regularization NeurIPS 2010 Random Projections for k-means Clustering NeurIPS 2010 Rates of convergence for the cluster tree NeurIPS 2010 Relating Function Class Complexity and Cluster Structure in the Function Domain with Applications to Transduction AISTATS 2010