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|a (NLM)15369100
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Yu, Jian
|e verfasserin
|4 aut
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| 245 |
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|a Analysis of the weighting exponent in the FCM
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|c 2004
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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|a Band
|b nc
|2 rdacarrier
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|a Date Completed 15.10.2004
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|a Date Revised 08.11.2019
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a The fuzzy c-means (FCM) algorithm is one of the most frequently used clustering algorithms. The weighting exponent m is a parameter that greatly influences the performance of the FCM. But there has been no theoretical basis for selecting the proper weighting exponent in the literature. In this paper, we develop a new theoretical approach to selecting the weighting exponent in the FCM. Based on this approach, we reveal the relation between the stability of the fixed points of the FCM and the data set itself. This relation provides the theoretical basis for selecting the weighting exponent in the FCM. The numerical experiments verify the effectiveness of our theoretical conclusion
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|a Journal Article
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|a Cheng, Qiansheng
|e verfasserin
|4 aut
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|a Huang, Houkuan
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
|d 1997
|g 34(2004), 1 vom: 13. Feb., Seite 634-9
|w (DE-627)NLM098252887
|x 1083-4419
|7 nnns
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| 773 |
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|g volume:34
|g year:2004
|g number:1
|g day:13
|g month:02
|g pages:634-9
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|d 34
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|e 1
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|h 634-9
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