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SKNN

A Super K-Nearest Neighbor (SKNN) Classification Algorithm

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.

Versions across snapshots

VersionRepositoryFileSize
4.1.3 rolling linux/jammy R-4.5 SKNN_4.1.3.tar.gz 33.4 KiB
4.1.3 rolling linux/noble R-4.5 SKNN_4.1.3.tar.gz 33.3 KiB
4.1.3 rolling source/ R- SKNN_4.1.3.tar.gz 4.3 KiB
4.1.3 latest linux/jammy R-4.5 SKNN_4.1.3.tar.gz 33.4 KiB
4.1.3 latest linux/noble R-4.5 SKNN_4.1.3.tar.gz 33.3 KiB
4.1.3 latest source/ R- SKNN_4.1.3.tar.gz 4.3 KiB
4.1.3 2026-04-26 source/ R- SKNN_4.1.3.tar.gz 4.3 KiB
4.1.3 2026-04-23 source/ R- SKNN_4.1.3.tar.gz 4.3 KiB
4.1.3 2026-04-09 windows/windows R-4.5 SKNN_4.1.3.zip 35.9 KiB
4.1 2025-04-20 source/ R- SKNN_4.1.tar.gz 4.1 KiB

Dependencies (latest)

Depends