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Information Theoretic Measures for Clusterings Comparison: Is a Correction for Chance Necessary?
Nguyen Xuan Vinh
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Oznake: computer science;machine learning;clustering
Information theoretic based measures form a fundamental class of similarity measures for comparing clusterings, beside the class of pair-counting based and set-matching based measures. In this paper, we discuss the necessity of correction for chance for information theoretic based measures for clust ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 1
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