Definition of the [ClusterDiagGaussian] class

Share:

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{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.

Slots

component

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

Author(s)

Serge Iovleff

See Also

[IClusterModel] class

Examples

1
2
3
getSlots("ClusterDiagGaussian")
data(geyser)
new("ClusterDiagGaussian", data=geyser)

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.