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

First Page		Document Content
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		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 Download Document from Source Website File Size: 150,69 KB Share Document on Facebook

	Recent Developments in Document Clustering Nicholas O. Andrews and Edward A. Fox Department of Computer Science, Virginia Tech, Blacksburg, VA 24060 {nandrews, fox}@vt.edu October 16, 2007 DocID: 1thA2 - View Document
	Combining a Double Clustering Approach with Sentence Simpliﬁcation to Produce Highly Informative Multi-document Summaries Sara Botelho Silveira and Ant´onio Branco University of Lisbon Edif´ıcio C6, Departamento de DocID: 1stOV - View Document
	Using a Wikipedia-based Semantic Relatedness Measure for Document Clustering Majid Yazdani Idiap Research Institute and EPFL Centre du Parc, Rue MarconiMartigny, Switzerland DocID: 1sjIn - View Document
	One-Touch Access to Music on Mobile Devices Dominik Schnitzer1,2 ,Tim Pohle1 , Peter Knees1 , and Gerhard Widmer1,2 1 Department of Computational Perception, Johannes Kepler University Linz, Austria 2 DocID: 1rtSc - View Document
	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 DocID: 1rtvl - View Document