Toward high performance solution retrieval in multiobjective clustering-Reference-Cited by-同舟云学术

Toward high performance solution retrieval in multiobjective clustering

Published:2015-11 Issue: Volume:320 Page:12-25
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Garcia-Piquer Alvaro,Sancho-Asensio Andreu,Fornells Albert,Golobardes Elisabet,Corral Guiomar,Teixidó-Navarro Francesc

Publisher

Elsevier BV

Subject

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

Reference51 articles.

1. Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework;Alcalá-Fdez;Multiple-Valued Logic Soft Comput.,2011

2. J. Bacardit, Pittsburgh genetic-based machine learning in the data mining era: representations, generalization, and run-time, Ph.D. thesis, Enginyeria i Arquitectura La Salle, Universitat Ramon Llull, Barcelona, Spain, 2004.

3. Large scale data mining using genetics-based machine learning;Bacardit,2009

4. Finding knees in multi-objective optimization;Branke,2004

5. A dendrite method for cluster analysis;Caliński;Commun. Stat. Simul. Comput.,1974

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