A sequential Bayesian alternative to the classical parallel fuzzy clustering model

Unsupervised separation of a group of datums of a particular type, into clusters which are homogenous within a problem class-specific context, is a classical research problem which is still actively visited. Since the 1960s, the research community has converged into a class of clustering algorithms,...

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Veröffentlicht in:	Information sciences 2015-10, Vol.318, p.28-47
1. Verfasser:	Abadpour, Arash
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayesian analysis Bayesian modeling Clustering Clusters Data clustering Fuzzy Fuzzy clustering Fuzzy set theory Mathematical analysis Mathematical models Possibilistic clustering Robust clustering Sequential clustering
Online-Zugang:	Volltext
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