pmclust (version 0.2-1)

Set of PARAM: A Set of Parameters in Model-Based Clustering.

Description

This set of parameters are used in initialization, EM iterations, and final convergent results. All share the same structure in a list variable.

Format

A list variable contains several parameters for computing.

Details

The elements of PARAM or PARAM.org are

N	number of observations
p	dimension of each observation, total number of variables
K	number of clusters
ETA	mixing proportion
log.ETA	log of mixing proportion
MU	centers, dim = \(p \times K\)
SIGMA	dispersions, a list containing \(K\) elements, each element is a matrix, dim = \(p \times p\)
U	Choleski of SIGMA, the same size of SIGMA
U.check	checks of each elements of U, length \(K\)
logL	log likelihood

The model parameters are ETA, MU, and SIGMA, while log.ETA, U, U.check, and min.N.CLASS are only used in computing.

References

Programming with Big Data in R Website: https://pbdr.org/

See Also

set.global.

Examples

# NOT RUN {
# Use set.global() to generate one of this.
# X.spmd should be pre-specified before calling set.global().
# }