From Soft Clustering to Hard Clustering: A Collaborative Annealing Fuzzy c-means Algorithm

The fuzzy c-means clustering algorithm is the most widely used soft clustering algorithm. In contrast to hard clustering, the cluster membership of data generated using the fuzzy c-means algorithm is ambiguous. Similar to hard clustering algorithms, the clustering results of the fuzzy cmeans cluster...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 32; H. 3; S. 1 - 15
Hauptverfasser:	Li, Hongzong, Wang, Jun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.03.2024
Schlagworte:	<inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX"> k</tex-math> </inline-formula>-means clustering Annealing annealing procedure Classification algorithms Clustering algorithms Clustering methods collaborative clustering Cooling fuzzy <inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX"> c</tex-math> </inline-formula>-means clustering Linear programming Schedules
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
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