A novel genetic-based instance selection method: Using a divide and conquer approach

Nearest Neighbor (NN) classifier is a simple classifier which can be used in a variety of applications. However, this classifier is known to be vulnerable and very slow when dealing with redundant, irrelevant or noisy instances. To tackle this problem, we propose a novel method based on the combinat...

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Bibliographische Detailangaben

Hauptverfasser:	Kazimipour, Borhan, Salehi, B., Jahromi, M. Z.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Biological cells Classification algorithms Divide and Conquer Genetic Algorithm (GA) Genetic algorithms Instance Reduction Nearest Neighbor (NN) Classifier Nickel Search problems Training
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