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- W2138514204 abstract "The fuzzy clustering proportional membership (FCPM) proposes a model of how data are generated from a cluster structure to be identified. Cluster prototypes and membership functions are meaningful in the context of the model. In particular, the membership of an entity to a cluster expresses the proportion of the cluster's prototype reflected in the entity (proportional membership). We explore the notion of proportional membership and compare it against the fuzzy c-means (FCM) distance membership. The ability of FCPM to reveal the underlying clustering model of data has been studied and a comparison with FCM had also been performed." @default.
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- W2138514204 date "2002-11-08" @default.
- W2138514204 modified "2023-09-23" @default.
- W2138514204 title "A fuzzy clustering model of data with proportional membership" @default.
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- W2138514204 doi "https://doi.org/10.1109/nafips.2000.877433" @default.
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