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Partitions optimisées selon différents critères : évaluation et comparaison
[摘要] In this article, we study and compare partitionning methods applied to a distance matrix. Given the maximum number of classes and a criterion, we build one partition optimizing this criterion for each number of classes varying from 2 to this maximum. All the studied criteria lead to NP-hard problems. The general algorithm combines optimization and metaheuristic technics to build sub-optimal solutions. Several ways to evaluate the quality of the classes and to compare partitions corresponding to different criteria are proposed. They allow to chose the best partition fitting a distance matrix and, simulating several types of metric, to designate the criterion providing generally the best results.
[发布日期]  [发布机构] 
[效力级别]  [学科分类] 数学(综合)
[关键词] partitionning method;combinatorial optimization;simulations [时效性] 
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