Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method

Author:

Li Feijiang,Qian Yuhua,Wang Jieting,Liang Jiye

Funder

Program for New Century Excellent Talents in University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference48 articles.

1. A. Asuncion, D. Newman, UCI Machine Learning Repository, 2007, http://www.ics.uci.edu/mlearn/MLRepository.html, School of Information and Computer Science, University of California Irvine.

2. Some aspects of Dempster-Shafer evidence theory for classification of multi-modality medical images taking partial volume effect into account;Bloch;Pattern Recognit. Lett.,1996

3. Combining multiple clustering systems;Boulis;Knowl. Discov. Databases,2004

4. Weighted cluster ensembles: methods and analysis;Domeniconi;ACM Trans. Knowl. Discov. Data,2009

5. A self-supervised framework for clustering ensemble;Du,2013

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