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Clustering

3615 directly classified papers

Papers per year

Papers

Kernels on Structured Objects Through Nested Histograms NIPS 2006
Inferring Network Structure from Co-Occurrences NIPS 2006
An Approach to Bounded Rationality NIPS 2006
PG-means: learning the number of clusters in data NIPS 2006
Learning annotated hierarchies from relational data NIPS 2006
Part-based Probabilistic Point Matching using Equivalence Constraints NIPS 2006
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NIPS 2006
Recursive Attribute Factoring NIPS 2006
Rearrangement Clustering: Pitfalls, Remedies, and Applications JMLR 2006
Doubly Stochastic Normalization for Spectral Clustering NIPS 2006
Learning Spectral Clustering, With Application To Speech Separation JMLR 2006
Accelerated Variational Dirichlet Process Mixtures NIPS 2006
A Local Learning Approach for Clustering NIPS 2006
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NIPS 2006
Stability of $K$-Means Clustering NIPS 2006
A Complexity-Distortion Approach to Joint Pattern Alignment NIPS 2006
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems JMLR 2006
Hierarchical Dirichlet Processes with Random Effects NIPS 2006
Information Bottleneck for Non Co-Occurrence Data NIPS 2006
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
A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior JMLR 2005
Hierarchical Latent Class Models for Cluster Analysis JMLR 2004
Feature Selection for Unsupervised Learning JMLR 2004