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- W1957050808 abstract "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." @default.
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- W1957050808 date "2002-11-08" @default.
- W1957050808 modified "2023-09-26" @default.
- W1957050808 title "A novel FCM clustering algorithm for interval-valued data and fuzzy-valued data" @default.
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- W1957050808 doi "https://doi.org/10.1109/icosp.2000.893395" @default.
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