em-class

This class contains the model obtained by the EM method.

Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Donn<c3><a9>es en Master 2 Informatique D<c3><a9>cisionnelle".

Alexandre Blansch<c3><a9>

fdm2id

Data Mining and R Programming for Beginners

em-class function

<dl class="dl-horizontal">
<dt><code>modelName</code></dt><dd>A character string indicating the model. The help file for <code><a rd-options="mclust" href="/link/mclustModelNames?package=fdm2id&version=0.9.5&to=mclust" data-mini-rdoc="mclust::mclustModelNames">mclustModelNames</a></code> describes the available models.</dd></dl><dt><code>prior</code></dt><dd>Specification of a conjugate prior on the means and variances.</dd><dt><code>n</code></dt><dd>The number of observations in the dataset.</dd><dt><code>d</code></dt><dd>The number of variables in the dataset.</dd><dt><code>G</code></dt><dd>The number of components of the mixture.</dd><dt><code>z</code></dt><dd>A matrix whose <code>[i,k]</code>th entry is the conditional probability of the ith observation belonging to the kth component of the mixture.</dd><dt><code>parameters</code></dt><dd>A names list giving the parameters of the model.</dd><dt><code>control</code></dt><dd>A list of control parameters for EM.</dd><dt><code>loglik</code></dt><dd>The log likelihood for the data in the mixture model.</dd><dt><code>cluster</code></dt><dd>A vector of integers (from <code>1:k</code>) indicating the cluster to which each point is allocated.</dd>

em-class: Expectation-Maximization model

Description

Arguments

Slots

See Also