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mosclust

Model Order Selection for Clustering

Stability based methods for model order selection in clustering problems (Valentini, G (2007), <doi:10.1093/bioinformatics/btl600>). Using multiple perturbations of the data the stability of clustering solutions is assessed. Different perturbations may be used: resampling techniques, random projections and noise injection. Stability measures for the estimate of clustering solutions and statistical tests to assess their significance are provided.

Versions across snapshots

VersionRepositoryFileSize
1.0.2 rolling linux/jammy R-4.5 mosclust_1.0.2.tar.gz 358.2 KiB
1.0.2 rolling linux/noble R-4.5 mosclust_1.0.2.tar.gz 358.2 KiB
1.0.2 rolling source/ R- mosclust_1.0.2.tar.gz 233.0 KiB
1.0.2 latest linux/jammy R-4.5 mosclust_1.0.2.tar.gz 358.2 KiB
1.0.2 latest linux/noble R-4.5 mosclust_1.0.2.tar.gz 358.2 KiB
1.0.2 latest source/ R- mosclust_1.0.2.tar.gz 233.0 KiB
1.0.2 2026-04-26 source/ R- mosclust_1.0.2.tar.gz 233.0 KiB
1.0.2 2026-04-23 source/ R- mosclust_1.0.2.tar.gz 233.0 KiB
1.0.2 2026-04-09 windows/windows R-4.5 mosclust_1.0.2.zip 362.4 KiB

Dependencies (latest)

Imports