FastKNN: Fast k-Nearest Neighbors
Version 0.0.1

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.

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AuthorGaston Besanson
Date of publication2015-02-12 22:37:24
MaintainerGaston Besanson <besanson@gmail.com>
LicenseGPL-3
Version0.0.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("FastKNN")

Man pages

Distance_for_KNN_test: Distance for KNN Test The Distance_for_KNN_test returns the...
k.nearest.neighbors: k-Nearest Neighbors the 'k.nearest.neigbors' gives the list...
knn_test_function: KNN Test The knn_test_function returns the labels for a test...
knn_training_function: KNN Training The knn_training_function returns the labels for...

Functions

Distance_for_KNN_test Man page Source code
k.nearest.neighbors Man page Source code
knn_test_function Man page Source code
knn_training_function Man page Source code

Files

NAMESPACE
R
R/FastKNN.R
MD5
DESCRIPTION
man
man/knn_test_function.Rd
man/k.nearest.neighbors.Rd
man/knn_training_function.Rd
man/Distance_for_KNN_test.Rd
FastKNN documentation built on May 19, 2017, 8:11 a.m.