Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance
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About Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance
This paper, published in 2010, received 1.3k indexed citations . Written by Nguyễn Xuân Vinh, Julien Epps and James Bailey covering the research area of Statistical and Nonlinear Physics and Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (706 citations), Computer Vision and Pattern Recognition (347 citations), Statistical and Nonlinear Physics (272 citations), Signal Processing (193 citations) and Molecular Biology (170 citations). Published in Journal of Machine Learning Research.
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This paper is also available at doi.org/10.5555/1756006.1953024.