L@S 2014 Work-in-Progress Format

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Date: 2014-12-14 14:54:14 Machine learning Adjusted mutual information K-means clustering Algorithm Hierarchical clustering Consensus clustering Cluster analysis Statistics Computational statistics Mathematics		L@S 2014 Work-in-Progress Format Add to Reading List Source URL: people.csail.mit.edu Download Document from Source Website File Size: 301,47 KB Share Document on Facebook

	11. GI-Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW), Springer Lecture Notes in Informatics (LNI), 2005. Measuring the Quality of Approximated Clusterings Hans-Peter Kriegel, Martin Pfeifle Univers DocID: 196Tj - View Document
	Comparing Clusterings – an information based distance Marina Meil˘a ∗ Abstract DocID: 10Bmp - View Document
	L@S 2014 Work-in-Progress Format DocID: M1wc - View Document
	Combinatorial Markov Random Fields Ron Bekkerman1 , Mehran Sahami2 , and Erik Learned-Miller1 1 Department of Computer Science, University of Massachusetts, Amherst MA 01002, {ronb\|elm}@cs.umass.edu, DocID: z2gU - View Document
	Information Theoretic Measures for Clusterings Comparison: Is a Correction for Chance Necessary? Nguyen Xuan Vinh [removed] Julien Epps DocID: rYrp - View Document