Package: clustlearn 1.0.0
clustlearn: Learn Clustering Techniques Through Examples and Code
Clustering methods, which (if asked) can provide step-by-step explanations of the algorithms used, as described in Ezugwu et. al., (2022) <doi:10.1016/j.engappai.2022.104743>; and datasets to test them on, which highlight the strengths and weaknesses of each technique, as presented in the clustering section of 'scikit-learn' (Pedregosa et al., 2011) <https://jmlr.csail.mit.edu/papers/v12/pedregosa11a.html>.
Authors:
clustlearn_1.0.0.tar.gz
clustlearn_1.0.0.zip(r-4.7-any)clustlearn_1.0.0.zip(r-4.6-any)clustlearn_1.0.0.zip(r-4.5-any)
clustlearn_1.0.0.tgz(r-4.6-any)clustlearn_1.0.0.tgz(r-4.5-any)
clustlearn_1.0.0.tar.gz(r-4.7-any)clustlearn_1.0.0.tar.gz(r-4.6-any)
clustlearn_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
clustlearn/json (API)
| # Install 'clustlearn' in R: |
| install.packages('clustlearn', repos = c('https://ersabajanes.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ediu3095/clustlearn/issues
Last updated from:ff48cda95b. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 97 | ||
| source / vignettes | OK | 135 | ||
| linux-release | OK | 96 | ||
| macos-release | OK | 153 | ||
| macos-oldrel | OK | 143 | ||
| windows-devel | OK | 78 | ||
| windows-release | OK | 51 | ||
| windows-oldrel | OK | 65 | ||
| wasm-release | OK | 82 |
Exports:agglomerative_clusteringdbscandivisive_clusteringgaussian_mixturekmeans
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Agglomerative Hierarchical Clustering | agglomerative_clustering |
| Test Database 1 | db1 |
| Test Database 2 | db2 |
| Test Database 3 | db3 |
| Test Database 4 | db4 |
| Test Database 5 | db5 |
| Test Database 6 | db6 |
| Density Based Spatial Clustering of Applications with Noise (DBSCAN) | dbscan |
| Divisive Hierarchical Clustering | divisive_clustering |
| Gaussian mixture model | gaussian_mixture |
| K-Means Clustering | kmeans |
