A New Nearest Centroid Neighbor Classifier Based on K Local Means Using Harmonic Mean Distance

The K-nearest neighbour classifier is very effective and simple non-parametric technique in pattern classification; however, it only considers the distance closeness, but not the geometricalplacement of the k neighbors. Also, its classification performance is highly influenced by the neighborhood si...

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Detalles Bibliográficos

Autores principales:	Sumet Mehta, Xiangjun Shen, Jiangping Gou, Dejiao Niu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2018-09-01
Colección:	Information
Materias:	K-nearest neighbor nearest centroid neighbor local centroid mean vector harmonic mean distance pattern classification
Acceso en línea:	http://www.mdpi.com/2078-2489/9/9/234
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