A hierarchical fuzzy cluster ensemble approach and its application to big data clustering-Reference-Cited by-同舟云学术

A hierarchical fuzzy cluster ensemble approach and its application to big data clustering

Published:2015-08-10 Issue:6 Volume:28 Page:2409-2421
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Su Pan,Shang Changjing,Shen Qiang

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference41 articles.

1. On voting-based consensus of cluster ensembles;Ayad;Pattern Recognition,2010

2. Fcm: The fuzzy c-means clustering algorithm;Bezdek;Computers & Geosciences,1984

3. Maximum likelihood from incomplete data via the em algorithm;Dempster;Journal of the Royal Statistical Society. Series B (Methodological),1977

4. Feature selection inspired classifier ensemble reduction;Diao;Cybernetics, IEEE Transactions on,2014

5. Random projection for high dimensional data clustering: A cluster ensemble approach;Fern;In Proceedings of the 20th International Conference on Machine Learning,2003

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