ClusterPredict

ClusterPredict-class

This class encapsulate the parameters for predicted data.

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

ClusterPredict 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>

Slots

Author

Class [ClusterPredict] for predicting — ClusterPredict

<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>


</dl>

ClusterPredict: Class [`ClusterPredict`] for predicting

Description

Arguments

Slots

Author

See Also

Examples