Fuzzy weighted c-harmonic regressions clustering algorithm

As a well-known regression clustering algorithm, fuzzy c -regressions (FCR) has been widely studied and applied in various areas. However, FCR appears to be rather sensitive to the undesirable initialization and the presence of noise or outliers in data sets. As a modified alternative, possibilistic...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 22; H. 14; S. 4595 - 4611
Hauptverfasser:	Zhao, Yang, Wang, Pei-hong, Li, Yi-guo, Li, Meng-yang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2018 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Clustering Computational Intelligence Control Datasets Engineering Mathematical Logic and Foundations Mathematical models Mechatronics Methodologies and Application Outliers (statistics) Random variables Robotics Robustness (mathematics) Generalized mountain method Harmonic average regressions Fuzzy Dynamic-like weight Possibilistic
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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