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...

Full description

Saved in:
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/113587/1/113587.pdf
http://psasir.upm.edu.my/id/eprint/113587/
https://www.mdpi.com/2073-8994/16/6/712
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Putra Malaysia
Language: English
Be the first to leave a comment!
You must be logged in first