Set of PARAM | 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 =
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 |
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.
Programming with Big Data in R Website: https://pbdr.org/
set.global
.
## Not run:
# Use set.global() to generate one of this.
# X.spmd should be pre-specified before calling set.global().
## End(Not run)
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