Clustering mixed-type data via Dirichlet process mixture model with cluster-specific covariance matrices

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Clustering mixed-type data via Dirichlet process mixture model with cluster-specific covariance matrices

Many studies have shown successful applications of the Dirichlet process mixture model (DPMM) for clustering continuous data. Beyond continuous data, in practice, one can expect to see different data types, including ordinal and nominal data. Existing DPMMs for clustering mixed-type data assume a st...

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Bibliographic Details
Main Authors:	Burhanuddin, Nurul Afiqah, Ibrahim, Kamarulzaman, Zulkafli, Hani Syahida, Mustapha, Norwati
Format:	Article
Language:	English
Published:	Multidisciplinary Digital Publishing Institute (MDPI) 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/113587/ http://psasir.upm.edu.my/id/eprint/113587/1/113587.pdf

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