Intuitionistic fuzzy c-means clustering algorithm based on a novel weighted proximity measure and genetic algorithm

In the era of big data, the research on clustering technologies is a popular topic because they can discover the structure of complex data sets with minimal prior knowledge. Among the existing soft clustering technologies, as an extension of fuzzy c-means (FCM) algorithm, the intuitionistic FCM (IFC...

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Veröffentlicht in:	International journal of machine learning and cybernetics Jg. 12; H. 3; S. 859 - 875
Hauptverfasser:	Hou, Wen-hui, Wang, Yi-ting, Wang, Jian-qiang, Cheng, Peng-Fei, Li, Lin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2021 Springer Nature B.V
Schlagworte:	Accuracy Artificial Intelligence Big Data Cluster analysis Clustering Complex Systems Computational Intelligence Control Datasets Engineering Fuzzy sets Genetic algorithms Heuristic Mechatronics Optimization algorithms Original Article Outliers (statistics) Parameter identification Pattern Recognition Proximity Robotics Similarity measures Systems Biology Correlation coefficient Genetic algorithm (GA) Intuitionistic fuzzy c-means (IFCM) algorithm Similarity measure Intuitionistic fuzzification
ISSN:	1868-8071, 1868-808X
Online-Zugang:	Volltext
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