FastKNN: Fast k-Nearest Neighbors

Compute labels for a test set according to the k-Nearest Neighbors classification. This is a fast way to do k-Nearest Neighbors classification because the distance matrix -between the features of the observations- is an input to the function rather than being calculated in the function itself every time.

Getting started

Package details

AuthorGaston Besanson
MaintainerGaston Besanson <[email protected]>
Package repositoryView on CRAN
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FastKNN documentation built on May 29, 2017, 11 a.m.