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.

Version:	0.0.1
Imports:	pdist, assertthat
Published:	2015-02-12
Author:	Gaston Besanson
Maintainer:	Gaston Besanson <besanson at gmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	FastKNN results

Documentation:

Reference manual:

FastKNN.pdf

Downloads:

Package source:	FastKNN_0.0.1.tar.gz
Windows binaries:	r-devel: FastKNN_0.0.1.zip, r-release: FastKNN_0.0.1.zip, r-oldrel: FastKNN_0.0.1.zip
macOS binaries:	r-release (arm64): FastKNN_0.0.1.tgz, r-oldrel (arm64): FastKNN_0.0.1.tgz, r-release (x86_64): FastKNN_0.0.1.tgz, r-oldrel (x86_64): FastKNN_0.0.1.tgz

Reverse dependencies:

Reverse suggests:

ProjectionBasedClustering

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FastKNN to link to this page.