ClusterDiagGaussian-class: Definition of the ['ClusterDiagGaussian'] class
In MixAll: Clustering and Classification using Model-Based Mixture Models

This class defines a diagonal Gaussian mixture Model.

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

f({x}|\boldsymbol{θ}) =∑_{k=1}^K p_k ∏_{j=1}^d φ(x_j;μ_{jk},σ^2_{jk}) \quad x \in {R}^d.

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

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

Serge Iovleff

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

MixAll documentation built on Sept. 12, 2019, 5:05 p.m.

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