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-4.5)clustlearn_1.0.0.zip(r-4.4)clustlearn_1.0.0.zip(r-4.3)
clustlearn_1.0.0.tgz(r-4.4-any)clustlearn_1.0.0.tgz(r-4.3-any)
clustlearn_1.0.0.tar.gz(r-4.5-noble)clustlearn_1.0.0.tar.gz(r-4.4-noble)
clustlearn_1.0.0.tgz(r-4.4-emscripten)clustlearn_1.0.0.tgz(r-4.3-emscripten)
clustlearn.pdf |clustlearn.html✨
clustlearn/json (API)
NEWS
# Install 'clustlearn' in R: |
install.packages('clustlearn', repos = c('https://ediu3095.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ediu3095/clustlearn/issues
Last updated 1 years agofrom:ff48cda95b. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 08 2024 |
R-4.5-win | OK | Nov 08 2024 |
R-4.5-linux | OK | Nov 08 2024 |
R-4.4-win | OK | Nov 08 2024 |
R-4.4-mac | OK | Nov 08 2024 |
R-4.3-win | OK | Nov 08 2024 |
R-4.3-mac | OK | Nov 08 2024 |
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 |