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L\({}_ 1\)-norm based fuzzy clustering. (English) Zbl 0714.62052
The presented fuzzy clustering problem uses the distance between observations and location parameter vectors, which is based on the \(L_ 1\)-norm, instead of the inner product induced norm used in classical fuzzy ISODATA. Two alternative methods to solve the \(L_ 1\) fuzzy clustering problem are derived.

MSC:
62H30 Classification and discrimination; cluster analysis (statistical aspects)
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