Optimization and Parallelization of Fuzzy Clustering Algorithm Based on the Improved Kmeans++ Clustering

In the field of big data, fuzzy clustering algorithm is one of the most widely used clustering algorithm. Although fuzzy c-means (FCM) algorithm performs well, it still is difficult to ascertain the number of clusters and is sensitive to initial clustering center. To solve these problems, an improve...

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Veröffentlicht in:	IOP conference series. Materials Science and Engineering Jg. 768; H. 7; S. 72106 - 72112
Hauptverfasser:	Ma, Yu, Cheng, Wenjuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bristol IOP Publishing 01.03.2020
Schlagworte:	Algorithms Clustering Optimization Parallel processing
ISSN:	1757-8981, 1757-899X
Online-Zugang:	Volltext
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