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:Eduardo Ruiz Sabajanes [aut, cre], Juan Jose Cuadrado Gallego [ctb], Universidad de Alcala [cph]

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)
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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'))

Peer review:

Bug tracker:https://github.com/ediu3095/clustlearn/issues

Datasets:
  • db1 - Test Database 1
  • db2 - Test Database 2
  • db3 - Test Database 3
  • db4 - Test Database 4
  • db5 - Test Database 5
  • db6 - Test Database 6

On CRAN:

2.70 score 4 scripts 121 downloads 5 exports 2 dependencies

Last updated 1 years agofrom:ff48cda95b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winOKNov 08 2024
R-4.5-linuxOKNov 08 2024
R-4.4-winOKNov 08 2024
R-4.4-macOKNov 08 2024
R-4.3-winOKNov 08 2024
R-4.3-macOKNov 08 2024

Exports:agglomerative_clusteringdbscandivisive_clusteringgaussian_mixturekmeans

Dependencies:cliproxy