NNMap: A method to construct a good embedding for nearest neighbor classification

Abstract

This paper aims to deal with the practical shortages of nearest neighbor classifier. We define a quantitative criterion of embedding quality assessment for nearest neighbor classification, and present a method called NNMap to construct a good embedding. Furthermore, an efficient distance is obtained in the embedded vector space, which could speed up nearest… (More)
DOI: 10.1016/j.neucom.2014.11.014

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Cite this paper

@article{Chen2015NNMapAM, title={NNMap: A method to construct a good embedding for nearest neighbor classification}, author={Jing Chen and Yuan Yan Tang and C. L. Philip Chen and Bin Fang and Zhaowei Shang and Yuewei Lin}, journal={Neurocomputing}, year={2015}, volume={152}, pages={97-108} }