A Super K-Nearest Neighbor (SKNN) Classification Algorithm
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 6includes a package overview page
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 75%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 83%
Downloads
Dependencies
Installing SKNN adds no packages beyond those that come with R.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 4.1.3Latest
- 4.1.22025-09-18 · diff ↗
- 4.1.12025-09-09 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 4.12024-10-08 · diff ↗
- 4.02024-09-25 · diff ↗
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 3.12022-06-11 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 3.0
- 2.02021-11-27 · diff ↗
- 1.02021-11-23
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-11-23
- Total releases
- 9 / 5 yrs
- License
- GPL-2 OSI
- Download size
- 4.3 KB
Cite
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