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Clustering

3615 directly classified papers

Papers per year

Papers

An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering NIPS 2008
Regularized Co-Clustering with Dual Supervision NIPS 2008
Hit Miss Networks with Applications to Instance Selection JMLR 2008
Mixed Membership Stochastic Blockmodels NIPS 2008
Influence of graph construction on graph-based clustering measures NIPS 2008
Clustered Multi-Task Learning: A Convex Formulation NIPS 2008
Dependent Dirichlet Process Spike Sorting NIPS 2008
Generalization from Observed to Unobserved Features by Clustering JMLR 2008
Variational Mixture of Gaussian Process Experts NIPS 2008
Cyclizing Clusters via Zeta Function of a Graph NIPS 2008
A mixture model for the evolution of gene expression in non-homogeneous datasets NIPS 2008
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features NIPS 2008
Spectral Clustering with Perturbed Data NIPS 2008
Implicit Mixtures of Restricted Boltzmann Machines NIPS 2008
Distributed Localization of Modular Robot Ensembles RSS 2008
Mixed Membership Stochastic Blockmodels JMLR 2008
The Value of Labeled and Unlabeled Examples when the Model is Imperfect NIPS 2007
Penalized Model-Based Clustering with Application to Variable Selection JMLR 2007
DIFFRAC: a discriminative and flexible framework for clustering NIPS 2007
Expectation Maximization and Posterior Constraints NIPS 2007
Cluster Stability for Finite Samples NIPS 2007
Convex Clustering with Exemplar-Based Models NIPS 2007
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians JMLR 2007
Ensemble Clustering using Semidefinite Programming NIPS 2007
Learning the structure of manifolds using random projections NIPS 2007