Package: SKNN 4.1.3
Yarong Yang
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.
Authors:
SKNN_4.1.3.tar.gz
SKNN_4.1.3.tar.gz(r-4.7-any)SKNN_4.1.3.tar.gz(r-4.6-any)
SKNN_4.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SKNN/json (API)
| # Install 'SKNN' in R: |
| install.packages('SKNN', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:70e581fdff. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 133 | ||
| source / vignettes | OK | 150 | ||
| linux-release-x86_64 | OK | 136 | ||
| wasm-release | OK | 77 |
Dependencies:
