A New Nearest Centroid Neighbor Classifier Based on K Local Means Using Harmonic Mean Distance
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 size k and existing outliers. In this paper, we propose a …