A new k-harmonic nearest neighbor classifier based on the multi-local means

Volume: 67, Pages: 115 - 125
Published: Jan 1, 2017
Abstract
The k-nearest neighbor (KNN) rule is a classical and yet very effective nonparametric technique in pattern classification, but its classification performance severely relies on the outliers. The local mean-based k-nearest neighbor classifier (LMKNN) was firstly introduced to achieve robustness against outliers by computing the local mean vector of k nearest neighbors for each class. However, its performances suffer from the choice of the single...
Paper Details
Title
A new k-harmonic nearest neighbor classifier based on the multi-local means
Published Date
Jan 1, 2017
Volume
67
Pages
115 - 125
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