IClusterComponent

IClusterComponent-class

ClusterPoissonComponent

ClusterPoissonComponent-class

Interface base class defining a component of a mixture Model
This class defines a poisson 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

IClusterComponent function

<dl>
<dt><code>data</code></dt>
<dd>Matrix with the data set</dd></dl>
<dt><code>missing</code></dt>
<dd>Matrix with the indexes of the missing values</dd>
<dt><code>modelName</code></dt>
<dd>model name associated with the data set</dd>
<dt><code>lambda</code></dt>
<dd>Matrix with the mean of the jth variable in the kth cluster.</dd>

Slots

Serge Iovleff
Serge Iovleff

Author

Definition of the [IClusterComponent] class — IClusterComponent

<dl>
<dt><code>data</code></dt>
<dd>Matrix with the data set</dd>


<dt><code>missing</code></dt>
<dd>Matrix with the indexes of the missing values</dd>


<dt><code>modelName</code></dt>
<dd>model name associated with the data set</dd>


<dt><code>lambda</code></dt>
<dd>Matrix with the mean of the jth variable in the kth cluster.</dd>


</dl>

IClusterComponent: Definition of the [`IClusterComponent`] class

Description

Arguments

Slots

Author

See Also

Examples