Linguistic Hard C-Means (LHCM)

Linguistic Hard C-Means (LHCM) is an extended version of the Hard C-Means based on the extension principle and the decomposition theory. The input vectors are vectors of fuzzy subsets. The LHCM groups input vectors with similar characteristics into the same group.

Example

input vectors cluster centers produced by the LHCM

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