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

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

Definition of the [ClusterMixedDataModel] class

Description

This class defines a mixed data mixture Model.

Details

This class inherits from the [IClusterModel] class. A model for mixed data is a mixture model of the form:

f({{x}}_i=({{x}}_{1i}, {{x}}_{2i},\ldots {{x}}_{Li})|\theta) = \sum_{k=1}^K p_k \prod_{l=1}^L h({{x}}_{li}| \lambda_{lk},\alpha_l).

The density functions (or probability distribution functions)

h(.|\lambda_{lk},\alpha_l)

can be any implemented model (Gaussian, Poisson,...).

Slots

lcomponent

a list of [IClusterComponent]

Author(s)

Serge Iovleff

See Also

[IClusterModel] class

Examples

getSlots("ClusterMixedDataModel")

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