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Fowlkes–Mallows Index
Results: 10

#	Item
1	Measurement of quality in cluster analysis Christian Hennig Department of Statistical Science, University College London, UK There is much work on benchmarking is supervised classification, where Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Data mining Geostatistics Unsupervised learning Statistical classification Consensus clustering Fowlkes–Mallows Index Statistics Machine learning Cluster analysis
2	Comparing Clusterings – an information based distance Marina Meil˘a ∗ Abstract Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2011-06-08 14:01:05 Multivariate statistics Data mining Geostatistics Fowlkes–Mallows Index Variation of information Rand index Consensus clustering Adjusted mutual information Statistics Machine learning Cluster analysis
3	Choosing a Clustering: An A Posteriori Method for Social Networks Samuel D. Pimentel Department of Statistics, Wharton School of the University of Pennsylvania, [removed] Add to Reading List Source URL: www.cmu.edu Language: English - Date: 2014-06-05 08:56:39 Hierarchical clustering Community structure Consensus clustering Fowlkes–Mallows Index Statistics Cluster analysis Single-linkage clustering
4	to appear in: Proceedings of the 14th SIAM International Conference on Data Mining (SDM), Philadelphia, PA, 2014 Density-Based Clustering Validation Davoud Moulavi∗ Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2014-01-24 04:02:30 Determining the number of clusters in a data set OPTICS algorithm Hierarchical clustering Segmentation Silhouette Globular cluster Consensus clustering Fowlkes–Mallows Index Statistics Cluster analysis DBSCAN
5	INAUGURAL ARTICLE General purpose computer-assisted clustering and conceptualization Justin Grimmera and Gary Kingb,1 a Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2013-02-14 13:22:22 Machine learning Multivariate statistics Data mining K-means clustering Computer cluster Kernel methods Consensus clustering Fowlkes–Mallows Index Statistics Cluster analysis Geostatistics
6	Information Theoretic Measures for Clusterings Comparison: Is a Correction for Chance Necessary? Nguyen Xuan Vinh [removed] Julien Epps Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:57 Multivariate statistics Consensus clustering Adjusted mutual information Rand index Variation of information Mutual information Fowlkes–Mallows Index Statistics Machine learning Cluster analysis
7	WebSets: Extracting Sets of Entities from the Web Using Unsupervised Information Extraction Bhavana Dalvi William W. Cohen Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-12-06 16:33:16 Geostatistics Machine learning Single-linkage clustering Hierarchical clustering K-means clustering Hyponymy Fowlkes–Mallows Index WordNet Consensus clustering Statistics Cluster analysis Data mining
8	Comparing Clusterings - An Overview Silke Wagner Add to Reading List Source URL: i11www.iti.uni-karlsruhe.de Language: English - Date: 2009-05-05 05:16:23 Multivariate statistics Fowlkes–Mallows Index Hierarchical clustering Rand index Consensus clustering Adjusted mutual information Statistics Cluster analysis Machine learning
9	PDF Document Add to Reading List Source URL: www.ima.umn.edu Language: English - Date: 2009-06-26 16:24:03 Multivariate statistics Consensus clustering Adjusted mutual information Rand index Variation of information Mutual information Fowlkes–Mallows Index Statistics Machine learning Cluster analysis
10	PDF Document Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2010-10-27 17:46:20 Multivariate statistics Adjusted mutual information Consensus clustering Variation of information Rand index Mutual information Fowlkes–Mallows Index Information bottleneck method Statistics Machine learning Cluster analysis