Conscience online learning: an efficient approach for robust kernel-based clustering-Reference-Cited by-同舟云学术

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Conscience online learning: an efficient approach for robust kernel-based clustering

Published:2011-05-24 Issue:1 Volume:31 Page:79-104
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Wang Chang-Dong,Lai Jian-Huang,Zhu Jun-Yong

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10115-011-0416-2.pdf

Reference41 articles.

1. Abolhassani B, Salt JE, Dodds DE (2004) A two-phase genetic k-means algorithm for placement of radioports in cellular networks. IEEE Trans Syst Man Cybern B Cybern 34: 533–538

2. Asuncion A, Newman D (2007) UCI machine learning repository. http://www.ics.uci.edu/~mlearn/MLRepository.html

3. Bishop CM (2006) Pattern recognition and machine learning. Springer, Berlin

4. Bradley PS, Fayyad UM (1998) Refining initial points for k-means clustering of the 15th international conference on machine learning

5. Cheung Y-M (2005) On rival penalization controlled competitive learning for clustering with automatic cluster number selection. IEEE Trans Knowl Data Eng 17: 1583–1588

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