Adaptive Consensus Clustering for Multiple K-Means Via Base Results Refining-Reference-Cited by-同舟云学术

Adaptive Consensus Clustering for Multiple K-Means Via Base Results Refining

Published:2023-10-01 Issue:10 Volume:35 Page:10251-10264
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Zhou Peng¹^ORCID,Du Liang²^ORCID,Li Xuejun³^ORCID

Affiliation:

1. Anhui Provincial International Joint Research Center for Advanced Technology in Medical Imaging, School of Computer Science and Technology, Anhui University, Hefei, Anhui, China

2. School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi, China

3. Anhui Provincial International Joint Research Center for Advanced Technology in Medical Imaging, School of Computer Science and Technology, Anhui University, Hefei, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/10251471/10093938.pdf?arnumber=10093938

Reference59 articles.

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5. Learning a robust consensus matrix for clustering ensemble via Kullback-Leibler divergence minimization;zhou;Proc 24th Int Joint Conf Artif Intell,2015

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