init.em.hc

model-based agglomerative hierarchical clustering

A generic function for running the Expectation-Maximization (EM) algorithm
within a maximum likelihood framework, based on Dempster, Laird, and Rubin (1977) <doi:10.1111/j.2517-6161.1977.tb01600.x>
is implemented. It can be applied after a model fitting using R's existing functions and packages.

Dongjie Wu

Generic EM Algorithm

init.em.hc function

<dl><dt>object</dt>
<dd>A matrix.</dd>
<dt>...</dt>
<dd>other used arguments.</dd></dl>

Arguments

model-based agglomerative hierarchical clustering — init.em.hc

<dl>

<dt>object</dt>
<dd>A matrix.</dd>


<dt>...</dt>
<dd>other used arguments.</dd>

</dl>

init.em.hc: model-based agglomerative hierarchical clustering

Description

Usage

Value

Arguments