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Modeling Methods in Clustering Analysis for Time Series Data
Author(s) -
Naglaa A. Morad
Publication year - 2020
Publication title -
open journal of statistics
Language(s) - English
Resource type - Journals
eISSN - 2161-7198
pISSN - 2161-718X
DOI - 10.4236/ojs.2020.103034
Subject(s) - covariance , cluster analysis , mixture model , covariance matrix , computer science , gaussian , mathematics , determining the number of clusters in a data set , series (stratigraphy) , expectation–maximization algorithm , algorithm , data mining , principal component analysis , data set , cluster (spacecraft) , goodness of fit , pattern recognition (psychology) , artificial intelligence , statistics , fuzzy clustering , maximum likelihood , cure data clustering algorithm , paleontology , physics , quantum mechanics , biology , programming language

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