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r-fastknn

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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.

Installation

To install this package, run one of the following:

Conda
$conda install ducorey::r-fastknn

Usage Tracking

0.0.1
1 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

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.

Last Updated

May 13, 2019 at 21:59

License

GPL-3

Total Downloads

2

Supported Platforms

linux-64