getLoglikehd

getLoglikehd,HMMVB-method

getLoglikehd,HMMVBBIC-method

getLoglikehd,HMMVBclust-method

This function outputs Loglikelihood for each data point in a trained HMM-VB model or Loglikelihood for a new dataset in a HMM-VB model.

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

getLoglikehd function

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

Arguments

Accessor for 'Loglikehd' slot. — getLoglikehd

<dl>

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

</dl>

getLoglikehd: Accessor for 'Loglikehd' slot.

Description

Usage

Arguments