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Consensus clustering
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#	Item
21	A Constraint-based Approach for Multispace Clustering Ruggero G. Pensa and Mirco Nanni Pisa KDD Laboratory, ISTI-CNR, IPisa, Italy {ruggero.pensa,mirco.nanni}@isti.cnr.it Add to Reading List Source URL: www.ke.tu-darmstadt.de Language: English - Date: 2009-11-06 11:55:58 Cluster analysis Hierarchical clustering Network analysis Document clustering K-means clustering Constrained clustering Data stream clustering Consensus clustering
22	A Clustering under Approximation Stability MARIA-FLORINA BALCAN, Georgia Institute of Technology AVRIM BLUM, Carnegie Mellon University ANUPAM GUPTA, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-03-19 12:47:03 Cluster analysis Operations research Data mining Geostatistics Hierarchical clustering K-means clustering K-medians clustering K-means++ Consensus clustering
23	Information Theory based Validation for Point-cloud Segmentation aided by Tensor Voting Ming Liu, Roland Siegwart Autonomous Systems Lab, ETH Zurich, Switzerland , Add to Reading List Source URL: www.ee.ust.hk Language: English - Date: 2013-12-08 20:12:54 Statistics Computational statistics Data mining Data analysis Cluster analysis Geostatistics Image segmentation K-means clustering Spectral clustering Determining the number of clusters in a data set Consensus clustering
24	Bayesian Clustering of Transcription Factor Binding Motifs Shane T. J ENSEN and Jun S. L IU Genes are often regulated in living cells by proteins called transcription factors that bind directly to short segments of DNA i Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2008-02-26 17:59:19 Statistics Machine learning Cluster analysis Computational statistics Bioinformatics Hierarchical clustering Network analysis Dirichlet process K-means clustering DNA binding site Expectationmaximization algorithm Consensus clustering
25	Proceedings, The Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-15) Bayesian Clustering of Player Styles for Multiplayer Games Aline Normoyle Shane T. Jensen Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2015-12-17 10:15:17 Statistics Computing Mathematics Cluster analysis K-means clustering Hierarchical clustering Non-negative matrix factorization Fuzzy clustering Machine learning Computer cluster Dirichlet process Consensus clustering
26	PDF Document Add to Reading List Source URL: confsys.encs.concordia.ca Language: English - Date: 2016-02-13 15:52:58 Cluster analysis Statistics Data mining Geostatistics Geography of Portugal Consensus clustering Data analysis Constrained clustering Faculdade de Engenharia da Universidade do Porto Data stream clustering University of Porto Instituto Superior de Engenharia do Porto
27	Bayesian integrative clustering for genomics datasets Evelina Gabasova Lorenz Wernisch, John Reid MRC Biostatistics Unit University of Cambridge Add to Reading List Source URL: s3-eu-west-1.amazonaws.com Language: English - Date: 2015-03-30 15:54:24 Cluster analysis Statistics Consensus clustering Learning Artificial intelligence Ridge Mixture model
28	CopyCatch: Stopping Group Attacks by Spotting Lockstep Behavior in Social Networks ∗ Alex Beutel Add to Reading List Source URL: www2013.wwwconference.org Language: English - Date: 2014-07-21 08:47:04 Cluster analysis Distributed computing architecture MapReduce Parallel computing Bipartite graph Biclustering Facebook Zarankiewicz problem Matching Belief propagation Recommender system Consensus clustering
29	A Bayesian Approach to Cluster Validation Hoyt A. Koepke Bertrand Clarke Department of Computer Science Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-02-26 16:32:30 Statistics Applied mathematics Cluster analysis Mathematical physics Mathematical analysis Data mining Geostatistics K-means clustering Perturbation theory Mixture model Consensus clustering Hierarchical clustering