Model-Based Clustering of Mixed Data With Sparse Dependence-Reference-Cited by-同舟云学术

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Model-Based Clustering of Mixed Data With Sparse Dependence

Published:2023 Issue: Volume:11 Page:75945-75954
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Choi Young-Geun¹^ORCID,Ahn Soohyun²^ORCID,Kim Jayoun³^ORCID

Affiliation:

1. Department of Mathematics Education, Sungkyunkwan University, Seoul, Republic of Korea

2. Department of Mathematics, Ajou University, Suwon, Republic of Korea

3. Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Republic of Korea

Funder

National Research Foundation of Korea

Ministry of Health and Welfare, Republic of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10186885.pdf?arnumber=10186885

Reference32 articles.

1. Regularized Parameter Estimation in High-Dimensional Gaussian Mixture Models

2. Penalized model-based clustering with unconstrained covariance matrices

3. Fuzzy Gaussian Lasso clustering with application to cancer data

4. Unsupervised fuzzy model-based Gaussian clustering

5. Method-independent indices for cluster validation and estimating the number of clusters;halkidi;Handbook of Cluster Analysis,2015

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Victim clustering with k-prototype algorithm for flood evacuation planning;ITM Web of Conferences;2024

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