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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>.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 clustlearn_1.0.0.tar.gz 127.4 KiB
1.0.0 rolling linux/noble R-4.5 clustlearn_1.0.0.tar.gz 127.0 KiB
1.0.0 rolling source/ R- clustlearn_1.0.0.tar.gz 80.7 KiB
1.0.0 latest linux/jammy R-4.5 clustlearn_1.0.0.tar.gz 127.4 KiB
1.0.0 latest linux/noble R-4.5 clustlearn_1.0.0.tar.gz 127.0 KiB
1.0.0 latest source/ R- clustlearn_1.0.0.tar.gz 80.7 KiB
1.0.0 2026-04-26 source/ R- clustlearn_1.0.0.tar.gz 80.7 KiB
1.0.0 2026-04-23 source/ R- clustlearn_1.0.0.tar.gz 80.7 KiB
1.0.0 2026-04-09 windows/windows R-4.5 clustlearn_1.0.0.zip 130.9 KiB
1.0.0 2025-04-20 source/ R- clustlearn_1.0.0.tar.gz 80.7 KiB

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