ArdernHB/KnnDist: Kernal Nearest Neighbour classification with distance inputs
This package takes distance inputs constructed by the user and returns classifications using Kernal Nearest Neighbour (K-NN) methods. Current implimentation includes a simple majority vote process or a simple weighting system using the distances supplied as weights.
Getting started
Browse package contents
Package details |
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| Author | Ardern Hulme-Beaman [aut, cre] |
| Maintainer | Ardern Hulme-Beaman <ardernhb@gmail.com> |
| License | GPL-2 |
| Version | 0.1.0 |
| URL | https://github.com/ArdernHB/KnnDist |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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