ClusterCategoricalComponent

ClusterCategoricalComponent-class

This class defines a categorical component of a mixture model. It inherits
from [<code>IClusterComponent</code>].

Algorithms and methods for model-based clustering and classification.
It supports various types of data: continuous, categorical and counting
and can handle mixed data of these types. It can fit Gaussian (with diagonal
covariance structure), gamma, categorical and Poisson models. The algorithms
also support missing values.

Serge Iovleff

MixAll

Clustering and Classification using Model-Based Mixture Models

Parmeet Bathia

ClusterCategoricalComponent function

<dl>
<dt><code>plkj</code></dt>
<dd>Array with the probability for the jth variable in the kth cluster to be l.</dd></dl>
<dt><code>nbModalities</code></dt>
<dd>Integer with the (maximal) number of modalities of the categorical data.</dd>
<dt><code>levels</code></dt>
<dd>list with the original levels of the variables</dd>

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Author

Definition of the [ClusterCategoricalComponent] class — ClusterCategoricalComponent

<dl>
<dt><code>plkj</code></dt>
<dd>Array with the probability for the jth variable in the kth cluster to be l.</dd>


<dt><code>nbModalities</code></dt>
<dd>Integer with the (maximal) number of modalities of the categorical data.</dd>


<dt><code>levels</code></dt>
<dd>list with the original levels of the variables</dd>


</dl>

ClusterCategoricalComponent: Definition of the [`ClusterCategoricalComponent`] class

Description

Arguments

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Author

See Also

Examples