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

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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...

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Bibliographic Details
Main Author:	Burhanuddin, Nurul Afiqah
Format:	Thesis
Language:	English
Published:	2024
Subjects:	Mixture (Mathematics) Clustering (Statistics) Bayesian statistical decision theory
Online Access:	http://psasir.upm.edu.my/id/eprint/118420/ http://psasir.upm.edu.my/id/eprint/118420/1/118420%20%28IR%29.pdf

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