https://anacletolab.r-universe.devRecent package updates in anacletolabR-universehttps://github.com/anacletolab.pnghttps://anacletolab.r-universe.devFri, 23 May 2025 07:19:47 GMTjessica.gliozzo@unimi.it (Jessica Gliozzo)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.https://github.com/r-universe/anacletolab/actions/runs/26325418605Fri, 23 May 2025 07:19:47 GMTmosclust1.0.2successhttps://anacletolab.r-universe.devhttps://github.com/anacletolab/mosclustjessica.gliozzo@unimi.it (Jessica Gliozzo)The reliability of clusters is estimated using random projections. A set of stability measures is provided to assess the reliability of the clusters discovered by a generic clustering algorithm. The stability measures are taylored to high dimensional data (e.g. DNA microarray data) (Valentini, G (2005), <doi:10.1093/bioinformatics/bti817>.https://github.com/r-universe/anacletolab/actions/runs/25620890755Mon, 12 May 2025 13:20:37 GMTclusterv1.1.1successhttps://anacletolab.r-universe.devhttps://github.com/anacletolab/clustervclusterv-tutorial.pdf.asisclusterv-tutorial.pdfclusterv tutorial2025-05-08 13:20:192025-05-08 13:20:19