Stronger Convergence Results for the Center-Based Fuzzy Clustering With Convex Divergence Measure

We present a novel alternative convergence theory of the fuzzy <inline-formula> <tex-math notation="LaTeX">C </tex-math></inline-formula>-means (FCM) clustering algorithm with a super-class of the so-called "distance like functions" which emerged from the...

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Veröffentlicht in:	IEEE transactions on cybernetics Jg. 49; H. 12; S. 4229 - 4242
Hauptverfasser:	Saha, Arkajyoti, Das, Swagatam
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.12.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Closed graph theorem Clustering Clustering algorithms Continuity (mathematics) Convergence convergence analysis convex analysis Cybernetics distance like functions (DLFs) Distance measurement Divergence Euclidean distance Euclidean geometry Iterative algorithms Iterative methods Linear programming Mathematical analysis Operators (mathematics) partitional clustering Partitioning algorithms unsupervised learning
ISSN:	2168-2267, 2168-2275, 2168-2275
Online-Zugang:	Volltext
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