Projection On 2D {EMCluster}  R Documentation 
The function projects multivariate data on 2D plane which can be displayed
by plotppcontour()
later.
project.on.2d(x, emobj = NULL, pi = NULL, Mu = NULL,
LTSigma = NULL, class = NULL, method = c("PP", "SVD"))
x 
the data matrix, dimension 
emobj 
the desired model which is a list mainly contains 
pi 
the mixing proportion, length 
Mu 
the centers of clusters, dimension 
LTSigma 
the lower triangular matrices of dispersion,

class 
id of classifications, length 
method 
either projection pursuit or singular value decomposition. 
This function produces projection outputs of x
and emobj
.
A projection is returned which is a list contains
da
is a n \times 2
projected matrix of x
.
Pi
is the original proportion emobj$pi
of
length K
.
Mu
is a K \times 2
projected matrix of
emboj$Mu
.
S
is a 2 \times 2 \times K
projected array of
emboj$LTSigma
.
class
is the original class id emobj$class
.
proj.mat
is the projection matrix of dimension
p \time 2
.
WeiChen Chen wccsnow@gmail.com and Ranjan Maitra.
https://www.stat.iastate.edu/people/ranjanmaitra
## Not run:
library(EMCluster, quietly = TRUE)
set.seed(1234)
### Iris.
x < as.matrix(iris[, 1:4])
ret < init.EM(x, nclass = 3, min.n = 30)
ret.proj < project.on.2d(x, ret)
### Plot.
pdf("iris_ppcontour.pdf", height = 5, width = 5)
plotppcontour(ret.proj$da, ret.proj$Pi, ret.proj$Mu, ret.proj$S,
ret.proj$class, main = "Iris K = 3")
dev.off()
## End(Not run)