Learn R Programming

SKNN (version 4.1.2)

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.

Copy Link

Version

Install

install.packages('SKNN')

Monthly Downloads

217

Version

4.1.2

License

GPL-2

Maintainer

Yi Ya

Last Published

September 18th, 2025

Functions in SKNN (4.1.2)

SKNN-package

Super K-Nearest Neighbor (SKNN) Classification
SKNN

Super K-Nearest Neighbor (SKNN) Classification
Dist

Finding the distance between two observations.
PCAy

Revised PCA analysis
KNN

K-Nearest Neighbor Classification
PCAyd

Class to contain the results from revised PCA analysis.