ClusterDiagGaussianComponent

ClusterDiagGaussianComponent-class

This class defines a diagonal Gaussian 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

ClusterDiagGaussianComponent function

<dl>
<dt><code>mean</code></dt>
<dd>Matrix with the mean of the jth variable in the kth cluster.</dd></dl>
<dt><code>sigma</code></dt>
<dd>Matrix with the standard deviation of the jth variable in the kth cluster.</dd>

Slots

Author

Definition of the [ClusterDiagGaussianComponent] class — ClusterDiagGaussianComponent

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


<dt><code>sigma</code></dt>
<dd>Matrix with the standard deviation of the jth variable in the kth cluster.</dd>


</dl>

ClusterDiagGaussianComponent: Definition of the [`ClusterDiagGaussianComponent`] class

Description

Arguments

Slots

Author

See Also

Examples