Dynamic Type-2 Fuzzy Dependent Dirichlet Regression Mixture clustering model

[Display omitted] •A dynamic Type2 Fuzzy Dependent Dirichlet Regression Mixture clustering model.•It finds optimal numbers of new, transient, and existing clusters dynamically.•It ensures assignment of data to a cluster which has the most similarity to them.•Despite fuzzy clustering models, it suppo...

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Bibliographic Details

Published in:	Applied soft computing Vol. 57; pp. 577 - 604
Main Authors:	Gamasaee, R., Zarandi, M.H. Fazel
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2017
Subjects:	Dependent Dirichlet Process Mixture Dynamic regression clustering Interval Type-2 Fuzzy C-Regression Clustering Piecewise Regression Mixture Segmentation Piecewise Regression Mixture Segmentation Dependent Dirichlet Process Mixture Interval Type-2 Fuzzy C-Regression Clustering Dynamic regression clustering
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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