Self Generating Prototypes
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1. SeleÃÃo de protÃtipos: combinando auto-geraÃÃo de protÃtipos e mistura de gaussianas
Prototype selection is a machine learning scheme in which the main purpose is to choose pattern vectors from the training dataset that achieve a better fit to data point distributions and maintain class separation. The aim of this kind of technique is to find the smallest possible prototype set that minimizes the classification error rate. Prototype-based st
Publicado em: 2008