ClusterDiagGaussian-class: Definition of the ['ClusterDiagGaussian'] class

In MixAll: Clustering and Classification using Model-Based Mixture Models

Definition of the [ClusterDiagGaussian] class

Description

This class defines a diagonal Gaussian mixture Model.

Details

This class inherits from the [IClusterModel] class. A diagonal gaussian model is a mixture model of the form:

f({x}|\boldsymbol{\theta}) =\sum_{k=1}^K p_k \prod_{j=1}^d \phi(x_j;\mu_{jk},\sigma^2_{jk}) \quad x \in {R}^d.

Some constraints can be added to the variances in order to reduce the number of parameters.

Slots

component

A [ClusterDiagGaussianComponent] with the mean and standard deviation of the diagonal mixture model.

Author(s)

Serge Iovleff

See Also

[IClusterModel] class

Examples

getSlots("ClusterDiagGaussian")
data(geyser)
new("ClusterDiagGaussian", data=geyser)

MixAll documentation built on June 22, 2024, 6:56 p.m.