30_assign.class: Assign Class Id

In snoweye/EMCluster: EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution

Assign Class Id

Description

This function assigns cluster id to each observation in x according to the desired model emobj or specified parameters pi, Mu, and LTSigma.

Usage

  assign.class(x, emobj = NULL, pi = NULL, Mu = NULL, LTSigma = NULL,
               lab = NULL, return.all = TRUE)

Arguments

x	the data matrix, dimension n\times p.
emobj	the desired model which is a list mainly contains pi, Mu, and LTSigma, usually a returned object from init.EM.
pi	the mixing proportion, length K.
Mu	the centers of clusters, dimension K\times p.
LTSigma	the lower triangular matrices of dispersion, dimension K\times p(p+1)/2.
lab	labeled data for semi-supervised clustering, length n.
return.all	if returning with a whole emobj object.

Details

This function are based either an input emobj or inputs pi, Mu, and LTSigma to assign class id to each observation of x.

If lab is submitted, then the observation with label id greater 0 will not be assigned new class.

Value

This function returns a list containing mainly two new variables: nc (length K numbers of observations in each class) and class (length n class id).

Author(s)

Wei-Chen Chen [e-mail] and Ranjan Maitra.

References

https://www.stat.iastate.edu/people/ranjan-maitra

See Also

init.EM, emcluster.

Examples

library(EMCluster, quietly = TRUE)
set.seed(1234)
x2 <- da2$da

ret <- init.EM(x2, nclass = 2)
ret.new <- assign.class(x2, ret, return.all = FALSE)
str(ret.new)

snoweye/EMCluster documentation built on Sept. 13, 2024, 4:46 a.m.