HDclust (1.0.3)

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Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks.

http://cran.r-project.org/web/packages/HDclust

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) .

Maintainer: Jia Li
Author(s): Yevhen Tupikov [aut], Lin Lin [aut], Lixiang Zhang [aut], Jia Li [aut, cre]

License: GPL (>= 2)

Uses: Rcpp, RcppProgress, Rtsne, knitr, rmarkdown
Reverse suggests: OTclust

Released 5 months ago.


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