Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks R package HDclust version 1.0.4 Clustering of high dimensional data with Hidden Markov Model on Variable Blocks (HMM-VB) fitted via Baum-Welch algorithm. Clustering is performed by the Modal Baum-Welch algorithm (MBW), which finds modes of the density function. Lin Lin and Jia Li (2017) <https://jmlr.org/papers/v18/16-342.html>. Software Depends: methods Imports: Rcpp (>= 0.12.16), RcppProgress (>= 0.1), Rtsne (>= 0.11.0) LinkingTo: Rcpp, RcppProgress Suggests: knitr, rmarkdown Jia Li <jiali@psu.edu> Comprehensive R Archive Network (CRAN) Yevhen Tupikov [aut], Lin Lin [aut], Lixiang Zhang [aut], Jia Li [aut, cre] GPL (>= 2) 2024-09-20 application/tgz https://CRAN.R-project.org/package=HDclust doi:10.32614/CRAN.package.HDclust