ClusterPoisson

ClusterPoisson-class

This class inherits from the [<code>IClusterModel</code>] class.
A poisson mixture model is a mixture model of the form:
$$
 f({x}|\boldsymbol{\theta}) \\
 =\sum_{k=1}^K p_k \prod_{j=1}^d Pois(x_j;\lambda_{jk}) \\
 \quad {x} \in {N}^d.
$$

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

ClusterPoisson function

<dl>
<dt><code>component</code></dt>
<dd>A [<code>ClusterPoissonComponent</code>] with the
lambda of the component mixture model.</dd></dl>

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Definition of the [ClusterPoisson] class — ClusterPoisson

<dl>
<dt><code>component</code></dt>
<dd>A [<code>ClusterPoissonComponent</code>] with the
lambda of the component mixture model.</dd>


</dl>

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ClusterPoisson: Definition of the [`ClusterPoisson`] class

Description

Arguments

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Author

See Also

Examples