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A novel FCM clustering algorithm for interval-valued data and fuzzy-valued data

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3 Author(s)
Gao Xinbo ; Sch. of Electron. Eng., Xidian Univ., Xi''an, China ; Ji Hongbing ; Xie Weixin

It is well known that fuzzy c-means (FCM) algorithm is one of the most popular methods of cluster analysis. However, the traditional FCM algorithm does not work for the interval-valued data and fuzzy-valued data. To this end, a feature mapping method is proposed to preprocess these special type data, and then the traditional FCM algorithm can also be employed to analyze the interval-valued and fuzzy-valued data. Therefore, a novel FCM clustering algorithm is formed for interval-valued data and fuzzy-valued data. The experimental result demonstrates its effectiveness

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Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on  (Volume:3 )

Date of Conference: