The k conditional nearest neighbor algorithm for classification and class probability estimation

The k nearest neighbor (kNN) approach is a simple and effective nonparametric algorithm for classification. One of the drawbacks of kNN is that the method can only give coarse estimates of class probabilities, particularly for low values of k. To avoid this drawback, we propose a new nonparametric c...

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Bibliografiske detaljer
Udgivet i:PeerJ Comput Sci
Main Authors: Gweon, Hyukjun, Schonlau, Matthias, Steiner, Stefan H.
Format: Artigo
Sprog:Inglês
Udgivet: PeerJ Inc. 2019
Fag:
Data Mining and Machine Learning
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7924495/
https://ncbi.nlm.nih.gov/pubmed/33816847
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.194
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