Multi-objective Evolutionary Optimization for Visual Data Mining with Virtual Reality Spaces: Application to Alzheimer Gene Expressions

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TypeArticle
ConferenceGenetic and Evolutionary Computation Conference (GECCO) (a recombination of the 15th International Conference on Genetic Algorithms (ICGA) and the 11th Genetic Programming Conference (GP)), July 8-12, 2006., Seattle, Washington, USA
Subjectvisual data mining; virtual reality spaces; multi-objective optimization; genetic algorithms; NSGA-II algorithm; k-nn classification; cross-validation error; similarity structure preservation; non-linear mapping; Sammon error; Alzheimer disease; genomics; espaces de réalité virtuelle; optimisation multi objectif; algorithmes génétiques; algorithme NSGA II; classification k nn; erreur de validation croisée; préservation de la structure de similarité; fonction non linéai
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LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48506
NPARC number5765562
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Record identifierb2353854-74ac-4e95-86cd-8daffbab4b91
Record created2009-03-29
Record modified2016-05-09
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