HMMVB-class

HMMVB

show,HMMVB-method

getHmmChain,HMMVB-method

getDiagCov,HMMVB-method

getVb,HMMVB-method

An S4 class to represent a Hidden Markov Model on Variable Blocks (HMM-VB). 
New instances of the class are created by <code><a rd-options="" href="/link/hmmvbTrain?package=HDclust&version=1.0" data-mini-rdoc="HDclust::hmmvbTrain">hmmvbTrain</a></code>.

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>.

Yevhen Tupikov

HDclust

Clustering High Dimensional Data with Hidden Markov Model on
Variable Blocks

Lin Lin

Jia Li

HMMVB-class function

<ul>
<li>show signature(object = "HMMVB") : show parameters of the HMM-VB.</li>
<li>getHmmChain signature(object = "HMMVB") : accessor for 'HmmChain' slot.</li>
<li>getDiagCov signature(object = "HMMVB") : accessor for 'diagCov' slot.</li>
<li>getBIC signature(object = "HMMVB") : accessor for 'BIC' slot.</li>
<li>getVb signature(object = "HMMVB") : accessor for 'VbStructure' slot.</li>
</ul>

Methods

<dl class="dl-horizontal">
<dt><code>VbStructure</code></dt><dd>An object of class 'VB' that contains the variable block structure.</dd></dl><dt><code>HmmChain</code></dt><dd>A list of objects of class 'HMM' with trained Hidden Markov Models
for each variable block.</dd><dt><code>diagCov</code></dt><dd>A logical value indicating whether or not covariance matrices 
for mixture models are diagonal.</dd><dt><code>BIC</code></dt><dd>BIC value for provided variable block structure or optimal BIC value
for found variable block structure.</dd>

Slots

An S4 class to represent a Hidden Markov Model on Variable Blocks (HMM-VB). 
New instances of the class are created by <code><a rd-options='' href='hmmvbTrain'>hmmvbTrain</a></code>.

HMMVB-class: Class "HMMVB" to represent a Hidden Markov Model on Variable Blocks (HMM-VB).

Description

Arguments

Methods

Slots