A simulated annealing-based maximum-margin clustering algorithm-Reference-Cited by-同舟云学术

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A simulated annealing-based maximum-margin clustering algorithm

Published:2018-07-24 Issue:1 Volume:35 Page:23-41
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Seifollahi Sattar¹²^ORCID,Bagirov Adil³,Zare Borzeshi Ehsan²,Piccardi Massimo¹

Affiliation:

1. Faculty of Engineering and Information Technology; University of Technology Sydney; Sydney Australia

2. Capital Markets Cooperative Research Centre (CMCRC); Sydney Australia

3. Faculty of Science and Technology; Federation University Australia; Ballarat Australia

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/coin.12187/fullpdf

Reference35 articles.

1. Data clustering: a review;Jain;ACM Comput Surv,1999

2. Data clustering: 50 years beyond K-means;Jain;Pattern Recogn Lett,2010

3. Modified global k-means algorithm for minimum sum-of-squares clustering problems;Bagirov;Pattern Recogn,2008

4. Fast modified global k-means algorithm for incremental cluster construction;Bagirov;Pattern Recogn,2011

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