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Clustering

756 papers

Papers per year

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Papers

Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities AISTATS 2011
Multiscale Community Blockmodel for Network Exploration AISTATS 2011
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks AISTATS 2011
Bayesian Hierarchical Cross-Clustering AISTATS 2011
Spectral Clustering on a Budget AISTATS 2011
Sequential Event Prediction with Association Rules COLT 2011
Adaptive Density Level Set Clustering COLT 2011
Clustering Algorithms for Chains JMLR 2011
LPmade: Link Prediction Made Easy JMLR 2011
The Multidimensional Wisdom of Crowds NIPS 2010
Subgraph Detection Using Eigenvector L1 Norms NIPS 2010
Learning concept graphs from text with stick-breaking priors NIPS 2010
Fast Large-scale Mixture Modeling with Component-specific Data Partitions NIPS 2010
Minimum Average Cost Clustering NIPS 2010
Robust Clustering as Ensembles of Affinity Relations NIPS 2010
Towards Property-Based Classification of Clustering Paradigms NIPS 2010
Exploiting the High Predictive Power of Multi-class Subgroups ACML 2010
Hierarchical Convex NMF for Clustering Massive Data ACML 2010
Deterministic Bayesian inference for the $p*$ model AISTATS 2010
Hartigan’s Method: k-means Clustering without Voronoi AISTATS 2010
Streaming k-means approximation NIPS 2009
Modelling Relational Data using Bayesian Clustered Tensor Factorization NIPS 2009
Multi-Label Prediction via Compressed Sensing NIPS 2009
A Game-Theoretic Approach to Hypergraph Clustering NIPS 2009
Convex Relaxation of Mixture Regression with Efficient Algorithms NIPS 2009