This package is considered a duplicate. The official version of this package is found at:https://andrewthomasjones.r-universe.dev/lowmemtkmeans
Package: lowmemtkmeans 0.1.4
Andrew Thomas Jones
lowmemtkmeans: Low Memory Use Trimmed K-Means
Performs the trimmed k-means clustering algorithm with lower memory use. It also provides a number of utility functions such as BIC calculations.
Authors:
lowmemtkmeans_0.1.4.tar.gz
lowmemtkmeans_0.1.4.tar.gz(r-4.7-arm64)lowmemtkmeans_0.1.4.tar.gz(r-4.7-x86_64)lowmemtkmeans_0.1.4.tar.gz(r-4.6-arm64)lowmemtkmeans_0.1.4.tar.gz(r-4.6-x86_64)
lowmemtkmeans_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lowmemtkmeans/json (API)
NEWS
| # Install 'lowmemtkmeans' in R: |
| install.packages('lowmemtkmeans', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Uses libs:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:06f0770f96. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 145 | ||
| linux-devel-x86_64 | OK | 117 | ||
| source / vignettes | OK | 199 | ||
| linux-release-arm64 | OK | 166 | ||
| linux-release-x86_64 | OK | 119 | ||
| wasm-release | OK | 109 |
Exports:cluster_BICnearest_clusterscale_mat_inplacetkmeans
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculates BIC for a given clustering. | cluster_BIC |
| Allocates each rw (observation) in data to the nearest cluster centre. | nearest_cluster |
| Rescales a matrix in place. | scale_mat_inplace |
| Trimmed k-means clustering | tkmeans |
