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Determining the number of clusters in a data set
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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	WORKING PAPERA NEW CLASSIFICATION OF UK LOCAL AUTHORITIES USING 2001 CENSUS KEY STATISTICS Add to Reading List Source URL: sasi.group.shef.ac.uk Language: English - Date: 2012-08-31 04:04:22 Statistics Mathematics Academia Machine learning Statistical classification K-means clustering Variable Level of measurement Determining the number of clusters in a data set Geodemographic segmentation Cluster analysis
3	262 Genome Informatics 13: 262–A Novel Clustering Algorithm with Map Energy Minimization Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2002-12-19 23:03:36 Statistics Data analysis Hierarchical clustering Network analysis Cluster analysis Data Bioinformatics Single-linkage clustering Determining the number of clusters in a data set
4	ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Monthly Peer Reviewed Open Access International e-Journal Add to Reading List Source URL: www.ijmetmr.com Language: English - Date: 2014-12-11 09:15:27 Statistics Data mining Cluster analysis Information Geostatistics Feature selection Machine learning Determining the number of clusters in a data set Document clustering
5	Genome Informatics 11: 151–Clustering and Averaging of Images in Single-Particle Analysis Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2001-02-21 03:45:32 Cluster analysis Statistics Image processing Microscopes Protein structure Single particle analysis Data analysis Hierarchical clustering Determining the number of clusters in a data set Computational statistics K-means clustering Transmission electron microscopy
6	SOCA DOIs11761y SPECIAL ISSUE PAPER Weighted fuzzy clustering for capability-driven service Add to Reading List Source URL: www.infosys.tuwien.ac.at Language: English - Date: 2011-12-15 02:57:27 Computing Statistics Information science Fuzzy clustering Cluster analysis K-means clustering Computer cluster Hierarchical clustering Determining the number of clusters in a data set
7	IMPROVING SPEAKER DIARIZATION BY CROSS EM REFINEMENT Huazhong Ning Wei Xu, Yihong Gong Thomas Huang Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2006-11-17 00:31:30 Statistics Machine learning Cluster analysis Artificial intelligence Data mining Geostatistics Hierarchical clustering Speaker diarisation Image segmentation Mixture model Expectationmaximization algorithm Determining the number of clusters in a data set
8	A Cluster-Level Semi-Supervision Model for Interactive Clustering Avinava Dubey1 , Indrajit Bhattacharya2? , and Shantanu Godbole1 1 IBM Research - India Add to Reading List Source URL: drona.csa.iisc.ernet.in Language: English - Date: 2011-09-10 02:02:47 Cluster analysis Statistics Computing Data analysis K-means clustering Constrained clustering Biclustering Computer cluster Clustering Determining the number of clusters in a data set Hierarchical clustering
9	Microsoft PowerPoint - GeocompCluster.ppt Add to Reading List Source URL: www.iam.fmph.uniba.sk Language: English - Date: 2012-03-20 04:55:55 Means Cluster analysis K-means clustering Hierarchical clustering Medoid K-medoids Centroid Determining the number of clusters in a data set K-medians clustering
10	Information Theoretic Clustering using Minimum Spanning Trees Andreas C. M¨ uller?1 , Sebastian Nowozin2 , and Christoph H. Lampert3 1 Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Cluster analysis Hierarchical clustering Network analysis Mutual information K-means clustering Image segmentation Pattern recognition Information bottleneck method Minimum spanning tree Spectral clustering Single-linkage clustering Determining the number of clusters in a data set