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Title:
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Assessing the Quality of Fuzzy Partitions in Overlapping Data Sets Using Maximum Entropy Principle |
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Author(s):
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O. Ammor , A. Lachkar , K. Slaoui , N. Rais |
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ISBN:
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ISSN: 1646-3692 |
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Editors:
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Mohammad Essaaidi and Mohammed El Mohajir (Guest Editors) |
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Year:
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2009 |
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Edition:
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V IV, 1 |
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Type:
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Journal Paper |
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First Page:
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75 |
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Last Page:
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84 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Many validity indexes have been proposed for evaluating clustering results. They usually
have a tendency to fail in selecting the right number of clusters when dealing with
overlapping clusters such as the IRIS data. To overcome this limitation, we propose in this
paper, a new cluster validity index based on Maximum Entropy Principle, named VMEP.
VMEP allows finding the correct number of clusters, and can deal successfully with or
without the presence of overlap, even when this later is higher between clusters. Many
simulated and real examples are presented, showing the superiority of VMEP to the existing
indexes. |
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