Paralinear distance and its algorithm for hierarchical clustering of high-dimensional discrete variables-Reference-Cited by-同舟云学术

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Paralinear distance and its algorithm for hierarchical clustering of high-dimensional discrete variables

Published:2024-04 Issue: Volume:167 Page:109133
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Wang Shuai,Hao Lizhu,Wang Xiaofei^ORCID,Guo Jianhua

Funder

National Natural Science Foundation of China

China Medical University

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference31 articles.

1. Collapsibility and response variables in contingency tables;Asmussen;Biometrika,1983

2. Latent Dirichlet allocation;Blei;J. Mach. Learn. Res.,2003

3. Latent tree models for hierarchical topic detection;Chen;Artif. Intell.,2017

4. Model-based multidimensional clustering of categorical data;Chen;Artif. Intell.,2012

5. Learning latent tree graphical models;Choi;J. Mach. Learn. Res.,2011

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