Bayesian nonparametric clustering with Dirichlet process mixture model for mixed-type data

Mixture models have been applied regularly by many researchers for clustering and density estimations. In particular, the Bayesian nonparametric mixture model involving the Dirichlet process prior has recently enjoyed popularity in clustering due to its flexibility, allowing the number of mixture...

書誌詳細
第一著者:	Burhanuddin, Nurul Afiqah
フォーマット:	学位論文
言語:	英語
出版事項:	2024
主題:	Mixture (Mathematics) Clustering (Statistics) Bayesian statistical decision theory
オンライン･アクセス:	http://psasir.upm.edu.my/id/eprint/118420/1/118420%20%28IR%29.pdf

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