Exact fuzzy k-Nearest neighbor classification for big datasets

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Exact fuzzy k-Nearest neighbor classification for big datasets

The k-Nearest Neighbors (kNN) classifier is one of the most effective methods in supervised learning problems. It classifies unseen cases comparing their similarity with the training data. Nevertheless, it gives to each labeled sample the same importance to classify. There are several approaches to...

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Bibliographic Details
Main Authors:	Maillo, Jesus, Luengo, Julian, García, Salvador, Herrera, Francisco, Triguero, Isaac
Format:	Conference or Workshop Item
Published:	2017
Online Access:	https://eprints.nottingham.ac.uk/44937/

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