Comparison of Instance Selection and Construction Methods with Various Classifiers

Instance selection and construction methods were originally designed to improve the performance of the k-nearest neighbors classifier by increasing its speed and improving the classification accuracy. These goals were achieved by eliminating redundant and noisy samples, thus reducing the size of the...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Marcin Blachnik, Mirosław Kordos
Format:	Article
Language:	English
Published:	MDPI AG 2020-06-01
Subjects:	machine learning classification preprocessing instance selection
Online Access:	https://www.mdpi.com/2076-3417/10/11/3933