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Well-Separated Clusters and Optimal Fuzzy Partitions

Dunn†, J. C.·1974·Journal of Cybernetics

Abstract

Two separation indices are considered for partitions P = {X1, …, Xk} of a finite data set X in a general inner product space. Both indices increase as the pairwise distances between the subsets Xi become large compared to the diameters of Xi Maximally separated partitions p' are defined and it is shown that as the indices of p' increase without bound, the characteristic functions of Xi' in P' are approximated more and more closely by the membership functions in fuzzy partitions which minimize certain fuzzy extensions of the k-means squared error criterion function.

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Metadata

Authors
Dunn†, J. C.
Venue
Journal of Cybernetics
Published
1974-01
Volume
4
Issue
1
Pages
95-104
ISSN
0022-0280 (ISSN-L)
OpenAlex
W2029064186
Cited by
2,510
References
0
FWCI
4.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Well-Separated Clusters and Optimal Fuzzy Partitions. https://app.cochat.ai/papers/10.1080/01969727408546059
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Dunn†, J. C. (1974). Well-Separated Clusters and Optimal Fuzzy Partitions. Journal of Cybernetics. https://doi.org/10.1080/01969727408546059

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.