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- W2349468287 abstract "Several optimal iterative formulas are deduced by an integration between the FCM clustering algorithm and the optimization of feature weight based on the forward works.Then an extended algorithm of feature-weighted fuzzy C clustering algorithm can be obtain which is deduced from the FCM clustering algorithm and the optimization of feature weight by inserting the formula of computing mean-point of cluster into the updating formula of membership grade and feature weight.This kind of extended algorithm can be applied to clustering analysis of those data sets containing both order attributes and out-of-order attributes.This method is valid by several experi-ments and some compares with WKMeans.At last,it points out that this method can be applied to the reduction of hybrid attributes." @default.
- W2349468287 created "2016-06-24" @default.
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- W2349468287 date "2007-01-01" @default.
- W2349468287 modified "2023-09-23" @default.
- W2349468287 title "Feature-weighted fuzzy C clustering algorithm" @default.
- W2349468287 hasPublicationYear "2007" @default.
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