Package: kmodR 0.2.0
David Charles Howe
kmodR: K-Means with Simultaneous Outlier Detection
An implementation of the 'k-means--' algorithm proposed by Chawla and Gionis, 2013 in their paper, "k-means-- : A unified approach to clustering and outlier detection. SIAM International Conference on Data Mining (SDM13)", <doi:10.1137/1.9781611972832.21> and using 'ordering' described by Howe, 2013 in the thesis, Clustering and anomaly detection in tropical cyclones". Useful for creating (potentially) tighter clusters than standard k-means and simultaneously finding outliers inexpensively in multidimensional space.
Authors:
kmodR_0.2.0.tar.gz
kmodR_0.2.0.tar.gz(r-4.5-noble)kmodR_0.2.0.tar.gz(r-4.4-noble)
kmodR_0.2.0.tgz(r-4.4-emscripten)kmodR_0.2.0.tgz(r-4.3-emscripten)
kmodR.pdf |kmodR.html✨
kmodR/json (API)
NEWS
| # Install 'kmodR' in R: |
| install.packages('kmodR', 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 3 years agofrom:e57aa95e5a. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-linux | OK | Nov 01 2024 |
Exports:kmod
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| K-Means clustering with simultaneous Outlier Detection | kmod |