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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
Browse package contents
Package details |
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| Author | Gaston Besanson |
| Maintainer | Gaston Besanson <besanson@gmail.com> |
| License | GPL-3 |
| Version | 0.0.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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