A Method to Ascertain Parameters of Samples and their Feature Weights in the Weighted Fuzzy Clustering

Wu Di Wen; Zhong Le Liu; Hua Li

doi:10.4028/www.scientific.net/AMM.300-301.653

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 300-301A Method to Ascertain Parameters of Samples and...

A Method to Ascertain Parameters of Samples and their Feature Weights in the Weighted Fuzzy Clustering

Abstract:

The reasonable definitions of samples and their feature weights in weighted fuzzy clustering algorithm based on the thought of normalization and each computational formula are presented. Banding together with computational formulas of samples and their feature weights which derived in weighted FCM, we can get the regions of sample’s weight parameter() and sample feature’s weight parameter(). Then divide the regions into intervals, point out the clustering situations in different intervals and how changing of and affect the clustering result and the choice of feature.Try to explore the relationship between weightd parameter(、) and fuzzy constant(m). Finally, test result demonstrates the validity of the regions of parameter and its partition.

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Periodical:

Applied Mechanics and Materials (Volumes 300-301)

Pages:

653-658

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.300-301.653

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Online since:

February 2013

Authors:

Wu Di Wen, Zhong Le Liu, Hua Li

Keywords:

Fuzzy Clustering, Normalization, Weight Parameter

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