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Clustering

3,638 papers

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Papers

Spatial Latent Dirichlet Allocation NIPS 2007
Infinite State Bayes-Nets for Structured Domains NIPS 2007
Consistent Minimization of Clustering Objective Functions NIPS 2007
A Unified Continuous Optimization Framework for Center-Based Clustering Methods JMLR 2007
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians JMLR 2007
Penalized Model-Based Clustering with Application to Variable Selection JMLR 2007
A Nonparametric Statistical Approach to Clustering via Mode Identification JMLR 2007
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation JMLR 2007
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm NIPS 2006
Graph Laplacian Regularization for Large-Scale Semidefinite Programming NIPS 2006
Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach NIPS 2006
Accelerated Variational Dirichlet Process Mixtures NIPS 2006
Online Clustering of Moving Hyperplanes NIPS 2006
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NIPS 2006
Hierarchical Dirichlet Processes with Random Effects NIPS 2006
A Local Learning Approach for Clustering NIPS 2006
Recursive Attribute Factoring NIPS 2006
Information Bottleneck for Non Co-Occurrence Data NIPS 2006
Doubly Stochastic Normalization for Spectral Clustering NIPS 2006
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NIPS 2006
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NIPS 2006
Stability of $K$-Means Clustering NIPS 2006
Part-based Probabilistic Point Matching using Equivalence Constraints NIPS 2006
Learning annotated hierarchies from relational data NIPS 2006
Differential Entropic Clustering of Multivariate Gaussians NIPS 2006