A novel and powerful hybrid classifier method: Development and testing of heuristic k-nn algorithm with fuzzy distance metric

Weight-tuning methods and distance metrics have a significant impact on the k-nearest neighbor-based classification. A major challenge is the issue of how to explore the optimal weight values of the features and how to measure distances between the neighbors affecting the classification accuracy of...

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Vydané v:	Data & knowledge engineering Ročník 103; s. 44 - 59
Hlavný autor:	Kahraman, Hamdi Tolga
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.05.2016
Predmet:	Artificial bee colony optimization Classification Data mining methods and algorithms Fuzzy distance metric Heuristic weight-tuning method Hybrid k-nearest neighbor classifier Heuristic weight-tuning method Data mining methods and algorithms Fuzzy distance metric Hybrid k-nearest neighbor classifier Artificial bee colony optimization Classification
ISSN:	0169-023X, 1872-6933
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