Clustering validity function based on possibilistic partition coefficient combined with fuzzy variation

Fan Jiulun; Wu Chengmao

Volume 24 Issue 8

Aug. 2002

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Fan Jiulun, Wu Chengmao. Clustering validity function based on possibilistic partition coefficient combined with fuzzy variation[J]. Journal of Electronics & Information Technology, 2002, 24(8): 1017-1021.

Citation:

Fan Jiulun, Wu Chengmao. Clustering validity function based on possibilistic partition coefficient combined with fuzzy variation[J]. Journal of Electronics & Information Technology, 2002, 24(8): 1017-1021.

Citation:

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Clustering validity function based on possibilistic partition coefficient combined with fuzzy variation

Received Date: 2001-01-02
Rev Recd Date: 2001-05-29
Publish Date: 2002-08-19

Abstract

Abstract

Possibilistic partition coefficient which based on possibilistic distribution descriptor has decreasing tendency as the classification number increasing and does not directly relate to the geometry structure of data set. To consider the geometry structure information of data set, new clustering validity functions are defined by modify possibilistic partition coefficient. Experimental results show that the new methods have good classification performance.

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References(1)

References

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