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

	Measurement and Analysis of TCP Throughput Collapse in Cluster-based Storage Systems Amar Phanishayee, Elie Krevat, Vijay Vasudevan, David G. Andersen, Gregory R. Ganger, Garth A. Gibson, Srinivasan Seshan Carnegie Mello DocID: 1v8uZ - View Document
	4 Cluster Analysis and the Identification of Collexeme Classes STEFAN TH. GRIES AND ANATOL STEFANOWITSCH* 1 DocID: 1ud0o - View Document
	VoltDBIn the last Jepsen analysis, we found that RethinkDB could lose data when a network partition occurred during cluster reconfiguration. In this analysis, we’ll show that although VoltDB 6.3 claims DocID: 1u2N3 - View Document
	10th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGridMay 17-20, 2010, Melbourne, Victoria, Australia. An Analysis of Traces from a Production MapReduce Cluster Soila Kavulya∗ , Jiaq DocID: 1t4rT - View Document
	CloudVista: Visual Cluster Exploration for Extreme Scale Data in the Cloud Keke Chen Data Intensive Analysis and Computing (DIAC) Lab Ohio Center of Excellence in Knowledge Enabled Computing (Kno.e.sis Center) DocID: 1sAxy - View Document