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Consensus clustering
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1	V-Measure: A conditional entropy-based external cluster evaluation measure Andrew Rosenberg and Julia Hirschberg Department of Computer Science Columbia University New York, NY 10027 Add to Reading List Source URL: www1.cs.columbia.edu Language: English - Date: 2008-01-18 10:31:22 Statistics Cluster analysis Information science Data analysis Data mining Geostatistics Hierarchical clustering K-means clustering Document clustering Biclustering Consensus clustering Determining the number of clusters in a data set
2	Comparison of Clustering Algorithms in the Context of Software Evolution Jingwei Wu, Ahmed E. Hassan, Richard C. Holt School of Computer Science University of Waterloo Waterloo ON, Canada j25wu,aeehassa,holt@uwaterloo.c Add to Reading List Source URL: plg.uwaterloo.ca Language: English - Date: 2005-07-08 17:27:32 Statistics Bioinformatics Cluster analysis Data mining Geostatistics Hierarchical clustering Sequence clustering Computational statistics Information Consensus clustering K-means++
3	Personalized Collaborative Clustering Yisong Yue Chong Wang Disney Research Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Information science Information retrieval Cluster analysis Information Recommender systems Collaborative filtering Collaborative software Collective intelligence Social information processing Consensus clustering Document clustering Machine learning
4	Proceedings of the 1stACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics (DMGoffered under the auspices of the Add to Reading List Source URL: cervone.psu.edu Language: English - Date: 2015-11-18 09:12:45 Cluster analysis Statistics Computational statistics Data analysis Data mining Geostatistics DBSCAN Correlation clustering Polygon Consensus clustering Hierarchical clustering
5	CLUSTERING BEHAVIORS OF SPOKEN DIALOGUE SYSTEMS USERS Senthilkumar Chandramohan 1,3 , Matthieu Geist 1 , Fabrice Lef`evre 3 , Olivier Pietquin 1,2 1 SUPELEC Metz Campus, IMS Research Group (France) 2 Add to Reading List Source URL: www.ilhaire.eu Language: English - Date: 2012-09-06 04:31:50 Computing Statistics Machine learning Cluster analysis Data mining Geostatistics K-means clustering Vector quantization Computer cluster Reinforcement learning Consensus clustering
6	Robust Entity Clustering via Phylogenetic Inference Nicholas Andrews and Jason Eisner and Mark Dredze Department of Computer Science and Human Language Technology Center of Excellence Johns Hopkins University 3400 N. Cha Add to Reading List Source URL: www.cs.jhu.edu Language: English - Date: 2014-05-16 20:46:24 Statistics Estimation theory Computational statistics Cluster analysis Gibbs sampling Markov chain Monte Carlo Expectationmaximization algorithm Consensus clustering Likelihood function Sampling
7	Bounding and Comparing Methods for Correlation Clustering Beyond ILP Micha Elsner and Warren Schudy Department of Computer Science Brown University Providence, RI 02912 {melsner,ws}@cs.brown.edu Add to Reading List Source URL: bllip.cs.brown.edu Language: English - Date: 2009-04-09 10:54:24 Cluster analysis Statistics Information science Data analysis Correlation clustering Consensus clustering Document clustering
8	Tracking Vehicular Speed Variations by Warping Mobile Phone Signal Strengths Gayathri Chandrasekaran∗, Tam Vu∗ Alexander Varshavsky†, Marco Gruteser∗ , Richard P. Martin∗ , Jie Yang‡, Yingying Chen‡ ∗ Add to Reading List Source URL: www.winlab.rutgers.edu Language: English - Date: 2011-08-05 16:47:25 Statistics Applied mathematics Mathematics Dynamic programming Dynamic time warping Time series analysis Algorithm Global Positioning System Speech recognition K-means clustering Random sample consensus
9	FP7-ICT Strategic Targeted Research Project (STREP) TrendMiner (NoLarge-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams D3.2.1 Clustering models for discovery of regional and demo Add to Reading List Source URL: www.trendminer-project.eu Language: English - Date: 2013-11-04 08:37:52 Statistics Data analysis Cluster analysis Computational statistics Data mining Geostatistics DBSCAN Spectral clustering K-means clustering Clustering Bioinformatics Consensus clustering
10	Microsoft Word - IDHC_Camera_Ready.doc Add to Reading List Source URL: www.ke.tu-darmstadt.de Language: English - Date: 2009-11-06 11:55:58 Statistics Information science Cluster analysis Data mining Information Geostatistics Hierarchical clustering K-means clustering Document clustering Consensus clustering Nearest-neighbor chain algorithm