Sample-weighted clustering methods

Although there have been many researches on cluster analysis considering feature (or variable) weights, little effort has been made regarding sample weights in clustering. In practice, not every sample in a data set has the same importance in cluster analysis. Therefore, it is interesting to obtain...

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Veröffentlicht in:	Computers & mathematics with applications (1987) Jg. 62; H. 5; S. 2200 - 2208
Hauptverfasser:	Yu, Jian, Yang, Miin-Shen, Lee, E. Stanley
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2011
Schlagworte:	[formula omitted]-means Algorithms Cluster analysis Clustering Convergence Fuzzy [formula omitted]-means Mathematical models Maximization Maximum entropy Maximum entropy principle Robustness Sample weights Cluster analysis k -means Fuzzy c -means Sample weights Robustness Maximum entropy principle
ISSN:	0898-1221, 1873-7668
Online-Zugang:	Volltext
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