Package: SKNN 3.1

Yi Ya

SKNN: A Super K-Nearest Neighbor (SKNN) Classification Algorithm

It's a Super K-Nearest Neighbor classification method with using kernel density to describe weight of the distance between a training observation and the testing sample.

Authors:Yi Ya [aut, cre], Nader Ebrahimi [aut], Yoram Rubin [aut], Jacob Zhang [aut]

SKNN_3.1.tar.gz
SKNN_3.1.tar.gz(r-4.5-noble)SKNN_3.1.tar.gz(r-4.4-noble)
SKNN_3.1.tgz(r-4.4-emscripten)SKNN_3.1.tgz(r-4.3-emscripten)
SKNN.pdf |SKNN.html
SKNN/json (API)

# Install 'SKNN' in R:
install.packages('SKNN', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 0.91 score 0 dependencies 3 mentions 193 downloads

Last updated 2 years agofrom:b398a7fbbb. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-linuxOKSep 10 2024

Exports:DistKNNPCAySKNN

Dependencies: