getOptHMMVB

This function outputs the optimal HMM-VB found via BIC model selection.

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>.

Jia Li

HDclust

Clustering High Dimensional Data with Hidden Markov Model on
Variable Blocks

Yevhen Tupikov

Lin Lin

Lixiang Zhang

getOptHMMVB function

<dl><dt>object</dt>
<dd>Object of class "HMMVBBIC".</dd></dl>

Arguments

Accessor for 'optHMMVB' slot. — getOptHMMVB

<dl>

<dt>object</dt>
<dd>Object of class "HMMVBBIC".</dd>

</dl>

getOptHMMVB: Accessor for 'optHMMVB' slot.

Description

Usage

Arguments