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) < http://jmlr.org/papers/v18/16-342.html>.


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install.packages("HDclust")

1.0.3 by Jia Li, 8 days ago


Browse source code at https://github.com/cran/HDclust


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


See at CRAN