Contrastive Study of Distributed Multitask Fuzzy C-means Clustering and Traditional Clustering Algorithms

Clustering has been widely used in every field,but traditional classical clustering unable to handle multiple tasks at the same time under the scenario of data sets.Comparing with the classical clustering algorithm,the clustering results of Distributed Multitask Fuzzy C-means Clustering(MT-FCM) and...

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Veröffentlicht in:	2020 5th International Conference on Communication, Image and Signal Processing (CCISP) S. 239 - 245
Hauptverfasser:	Guo, Yanlin, Zi, Yuan, Jiang, Yizhang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2020
Schlagworte:	Clustering algorithms comparison Distributed databases Distributed Multitask Fuzzy C-means Clustering Indexes Iterative algorithms Linear programming multitask learning Phase change materials Task analysis traditional clustering algorithms
Online-Zugang:	Volltext
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