| Set of PARAM {pmclust} | R Documentation |
This set of parameters are used in initialization, EM iterations, and final convergent results. All share the same structure in a list variable.
A list variable contains several parameters for computing.
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 = \code{p*K} |
SIGMA | dispersions, a list containing K elements, each element is a matrix, dim = \code{p*p} |
U | Choleski of SIGMA, the same size of SIGMA |
U.check | checks of each elements of U, length K |
logL | log likelihood |
min.N.CLASS | minimum number of elements in a cluster (restrictions) |
The model parameters are ETA, MU, and SIGMA, while
log.ETA, U, U.check, and min.N.CLASS
are only used in computing.
Wei-Chen Chen wccsnow@gmail.com and George Ostrouchov.
High Performance Statistical Computing (HPSC) Website: http://thirteen-01.stat.iastate.edu/snoweye/hpsc/
Programming with Big Data in R Website: http://r-pbd.org/
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