Competence Enhancement for Nearest Neighbor Classification Rule by Ranking-Based Instance Selection

This paper introduces a novel prototype selection scheme that decides which instances to preserve using an approach that defines an order to the instances in the data sets. The order of each instance is defined by its relevance to the data set considering the similarity to their nearest eighboors. S...

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Bibliographische Detailangaben

Hauptverfasser:	de Santana Pereira, Cristiano, Cavalcanti, G. D. C.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Equations Instance Selection Instance-based Learning Machine Learning Mathematical model Nearest Neighbor Rule Noise Prototypes Training Training data
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