Variable Selection for Clustering and Classification R package vscc version 0.8 Performs variable selection/feature reduction under a clustering or classification framework. In particular, it can be used in an automated fashion using mixture model-based methods ('teigen' and 'mclust' are currently supported). Can account for mixtures of non-Gaussian distributions via Manly transform (via 'ManlyMix'). See Andrews and McNicholas (2014) <doi:10.1007/s00357-013-9139-2> and Neal and McNicholas (2023) <doi:10.48550/arXiv.2305.16464>. Software Depends: ManlyMix Imports: teigen, mclust, MixGHD Mackenzie R. Neal <nealm6@mcmaster.ca> Comprehensive R Archive Network (CRAN) Jeffrey L. Andrews [aut], Mackenzie R. Neal [aut, cre], Paul D. McNicholas [aut] (ORCID: <https://orcid.org/0000-0002-2482-523X>) GPL (>= 2) 2025-10-10 application/tgz https://CRAN.R-project.org/package=vscc doi:10.32614/CRAN.package.vscc