Interval Generalized Improved Fuzzy Partitions Fuzzy C-Means Under Hausdorff Distance Clustering Algorithm

In general, Hausdorff distance considers the maximum distance between two sets, making it less sensitive to outliers. Besides, fuzzy clustering often encounters challenges such as noise and fuzziness in data. Hausdorff distance provides a degree of resistance to such challenges by considering the ma...

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Veröffentlicht in:	International journal of fuzzy systems Jg. 27; H. 3; S. 834 - 852
Hauptverfasser:	Chang, Sheng-Chieh, Jeng, Jin-Tsong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Heidelberg Springer Nature B.V 01.04.2025
Schlagworte:	Algorithms Centroids Clustering Convergence Data analysis Datasets Library management Machine learning Methods Metric space Outliers (statistics) Probability distribution Robustness (mathematics) Statistical analysis Student's t-test
ISSN:	1562-2479, 2199-3211
Online-Zugang:	Volltext
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