Open AccessMixture Model Clustering Using Variable Data Segmentation and Model Selection: A Case Study of Genetic Algorithm
Author(s) -
Maruf GÖGEBAKAN,
Hamza Erol
Publication year - 2019
Publication title -
mathematics letters
Language(s) - English
Resource type - Journals
eISSN - 2575-5056
pISSN - 2575-503X
DOI - 10.11648/j.ml.20190502.12
Subject(s) - mixture model , cluster analysis , determining the number of clusters in a data set , model selection , expectation–maximization algorithm , data set , pattern recognition (psychology) , mathematics , categorical variable , bayesian information criterion , computer science , data mining , algorithm , artificial intelligence , statistics , cure data clustering algorithm , fuzzy clustering , maximum likelihood
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