SFCM: A Fuzzy Clustering Algorithm of Extracting the Shape Information of Data

Topological data analysis is a new theoretical trend using topological techniques to mine data. This approach helps determine topological data structures. It focuses on investigating the global shape of data rather than on local information of high-dimensional data. The Mapper algorithm is considere...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 29; H. 1; S. 75 - 89
Hauptverfasser:	Bui, Quang-Thinh, Vo, Bay, Snasel, Vaclav, Pedrycz, Witold, Hong, Tzung-Pei, Nguyen, Ngoc-Thanh, Chen, Mu-Yen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Big Data Clustering Clustering algorithms Data analysis Data mining Data structures Data visualization Electronic mail Fuzzy <named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> C</tex-math> </inline-formula> </named-content>-Means (FCM) fuzzy clustering Fuzzy sets Mapper Shape shape of data topological data analysis (TDA) Topology
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
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