Sparse Coefficient-Based ${k}$ -Nearest Neighbor Classification

Sparse Coefficient-Based ${k}$ -Nearest Neighbor Classification

K-nearest neighbor rule (KNN) and sparse representation (SR) are widely used algorithms in pattern classification. In this paper, we propose two new nearest neighbor classification methods, in which the novel weighted voting methods are developed for making classification decisions on the basis of s...

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Bibliographic Details
Main Authors: Hongxing Ma, Jianping Gou, Xili Wang, Jia Ke, Shaoning Zeng
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
K-nearest neighbor rule
sparse coefficient
weighted voting
pattern classification
Online Access:https://ieeexplore.ieee.org/document/8010421/

Internet

https://ieeexplore.ieee.org/document/8010421/

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