Palavra-chave: DATA CLUSTERING

TRANSFER LEARNING CONTINUOUS OPTIMIZATION TIME SERIES PREDICTION NEURAL NETWORKS VECTOR QUANTIZATION DISCRETE OPTIMIZATION KDD HIERARCHICAL CLUSTERING DATA MINING ENSEMBLES IMMUNE NETWORK THEORY CLASSIFICATION PROBLEM PARTICLE SWARM CLUSTERING SELF-ORGANIZATION CLUSTERING VARIABLE SELECTION PROBLEMAS ECOLÓGICOS ESTIMATIVA DE PARÂMETROS SWARM INTELLIGENCE PARTICLE SWARM GENE EXPRESSION DENSITY PRESERVATION LONG-TERM PREDICTION UNSUPERVISED NETWORK ARTIFICIAL IMMUNE SYSTEMS ARTIFICIAL NEURAL NETWORKS FUZZY CLUSTERING MULTIOBJECTIVE OPTIMIZATION ANT CLUSTERING ALGORITHM COEFICIENTE DE DIFUSÃO