Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks

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) <>.


Reference manual

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1.0.3 by Jia Li, 2 years ago

Browse source code at

Authors: Yevhen Tupikov [aut] , Lin Lin [aut] , Lixiang Zhang [aut] , Jia Li [aut, cre]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, RcppProgress, Rtsne

Depends on methods

Suggests knitr, rmarkdown

Linking to Rcpp, RcppProgress

Suggested by OTclust.

See at CRAN