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Provides an implementation of a mixture of hidden Markov models (HMMs) for discrete sequence data in the Discrete Bayesian HMM Clustering (DBHC) algorithm. The DBHC algorithm is an HMM Clustering algorithm that finds a mixture of discreteoutput HMMs while using heuristics based on Bayesian Information Criterion (BIC) to search for the optimal number of HMM states and the optimal number of clusters.
Package details 


Author  Gabriel Budel [aut, cre], Flavius Frasincar [aut] 
Maintainer  Gabriel Budel <[email protected]> 
License  GPL (>= 3) 
Version  0.0.2 
URL  https://github.com/gabybudel/DBHC 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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