Description
Value
Examples
An object of class tclusteda.object
holds information about
the result of a call to tclustfsda
with the option monitoring=TRUE
.
The functions print()
and summary()
are used to obtain and print a
summary of the results. An object of class tclusteda
is a list containing at least the following components:
call 
the matched call

k 
number of groups

alpha 
trimming level

restrfactor 
restriction factor

IDX 
an nbylength(alpha) vector containing assignment of each unit to each of the k
groups. Cluster names are integer numbers from 1 to k.
0 indicates trimmed observations. The first column refers to alpha[1] , the second column
refers to alpha[2] , ..., the last column refers to alpha[length(alpha)] .

MU 
a 3 dimensional array of size kbypbylength(alpha) containing the monitoring
of the centroid for each value of alpha. MU[,,1] , refers to alpha[1] ...,
MU(,,length(alpha)] refers to alpha[length(alpha)] .
The first row in each slice refers to group 1, second row refers to group 2, etc.

SIGMA 
A list of length length(alpha) containing in element j ,
with j=1, 2, ..., length(alpha) , the 3D array of size pbypbyk containing
the k (constrained) estimated covariance matrices associated with alpha[j] .

Amon 
Amon stands for alpha monitoring. Matrix of size (length(alpha)1)by4 which
contains for two consecutive values of alpha the monitoring of three quantities
(change in classification, change in centroid location, change in covariance location).
1st col = value of alpha.
2nd col = ARI index.
3rd col = squared Euclidean distance between centroids.
4th col = squared Euclidean distance between covariance matrices.

 ## Not run:
(hbk)
(out < (hbk, 1:3], k=2, monitoring=))
(out)
(out)
## End(Not run)

fsdaR documentation built on Jan. 14, 2020, 5:10 p.m.