One EM step only for model-based clustering of finite mixture Gaussian
models with unstructured dispersions.
This is a core function of em.step.worker.
Usage
em.onestep.worker(PARAM)
Arguments
PARAM
an original set of parameters generated
by set.global.
Value
This function is one EM step. The global variables will be updated and
a new PARAM will be returned.
See the help page of PARAM or PARAM.org
for details.
Details
A global variable called X.worker should exist in the
.GlobalEnv
environment, usually the working environment. The X.worker
is the data matrix to be clustered, and this matrix has a dimension
N.worker by p.
The PARAM will be a local variable for the current iteration inside
em.onestep.worker,
and this variable is a list containing all parameters related to models.
This function also updates in the parameters by the EM algorithm, and
return a new PARAM for the next iteration.
The details of list elements are initially
generated by set.global.
References
High Performance Statistical Computing Website:
http://thirteen-01.stat.iastate.edu/snoweye/hpsc/