ClusterGamma

ClusterGamma-class

This class inherits from the [<code>IClusterModel</code>] class.
A gamma mixture model is a mixture model of the form:
$$
 f({x}|\boldsymbol{\theta}) \\
 =\sum_{k=1}^K p_k \prod_{j=1}^d \gamma(x_j;a_{jk},b_{jk}) \\
 \quad {x} \in {R}^d.
$$
Constraints can be added to the shapes and/or scales in order to reduce the number
of parameters.

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

ClusterGamma function

<dl>
<dt><code>component</code></dt>
<dd>A [<code>ClusterGammaComponent</code>] with the
shapes and the scales of the component mixture model.</dd></dl>

Slots

Author

Definition of the [ClusterGamma] class — ClusterGamma

<dl>
<dt><code>component</code></dt>
<dd>A [<code>ClusterGammaComponent</code>] with the
shapes and the scales of the component mixture model.</dd>


</dl>

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ClusterGamma: Definition of the [`ClusterGamma`] class

Description

Arguments

Slots

Author

See Also

Examples