A generalized mean distance-based k-nearest neighbor classifier
Abstract
K-nearest neighbor (KNN) rule is a well-known non-parametric classifier that is widely used in pattern recognition. However, the sensitivity of the neighborhood size k always seriously degrades the KNN-based classification performance, especially in the case of the small sample size with the existing outliers. To overcome this issue, in this article we propose a generalized mean distance-based k-nearest neighbor classifier (GMDKNN) by...
Paper Details
Title
A generalized mean distance-based k-nearest neighbor classifier
Published Date
Aug 13, 2018
Volume
115
Pages
356 - 372
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