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SKNN (version 4.1.3)

A Super K-Nearest Neighbor (SKNN) Classification Algorithm

Description

It's a Super K-Nearest Neighbor(SKNN) classification method with using kernel density to describe weight of the distance between a training observation and the testing sample. Comparison of performance between SKNN and KNN shows that SKNN is significantly superior to KNN.

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Version

Install

install.packages('SKNN')

Monthly Downloads

217

Version

4.1.3

License

GPL-2

Maintainer

Yi Ya

Last Published

February 8th, 2026

Functions in SKNN (4.1.3)

SKNN

Super K-Nearest Neighbor (SKNN) Classification
KNN

K-Nearest Neighbor Classification
SKNN-package

Super K-Nearest Neighbor (SKNN) Classification
PCAy

Revised PCA analysis
Dist

Finding the distance between two observations.
PCAyd

Class to contain the results from revised PCA analysis.