A strategy for the selection of solutions of the pareto front approximation in multi-objective clustering approaches

Proceedings - 10th Brazilian Symposium on Neural Networks, SBRN 2008

Volumn , Issue , 2008, Pages 27-32

  Faceli, Katti ^a   De Souto, Marcilio C P ^b   De Carvalho, André C P L F ^c  

^a FEDERAL UNIVERSITY OF SÃO CARLOS   (Brazil)

^b FEDERAL UNIVERSITY OF RIO GRANDE DO NORTE   (Brazil)

^c UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; CLUSTER ANALYSIS; DIESEL ENGINES; GENETIC ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; NEURAL NETWORKS; PARETO PRINCIPLE; POLYNOMIAL APPROXIMATION;

CLUSTERING APPROACHES; CLUSTERING ENSEMBLES; DATA SETS; MULTI-OBJECTIVE GENETIC ALGORITHMS; PARETO FRONTS; RAND INDICES; SELECTION STRATEGIES; SINGLE SOLUTIONS;

CLUSTERING ALGORITHMS;

EID: 58049209479     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SBRN.2008.34     Document Type: Conference Paper

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