clustrd (version 0.1.2)

groupals: groupals

Description

Implements a constrained homogeneity analysis to take into account the cluster structure of objects as described in Van Buuren and Heiser (1989).

Usage

groupals(data,nclus,ndim,nstart=100,smartStart=F,seed=1234)

Arguments

data

categorical dataset

nclus

number of clusters

ndim

dimensionality of the solution

nstart

number of random starts

smartStart

If TRUE then starting values are obtained with fuzzy c-means

seed

seed is used to set the random number seed when smartStart = FALSE

Value

obscoord

object scores

attcoord

attribute scores

centroid

cluster centroids

cluID

cluster membership

criterion

optimal value of the objective function

References

Van Buuren, S. and Heiser, W. J. (1989). Clustering n objects in k groups under optimal scaling of variables, Psychometrika, 54, 699-706.

See Also

MCAk, fuzzyMCAk, iFCB

Examples

     data(underwear)
     attlab = c(c(1:15),"by","tr","vm","jd","ml","bn","bg","ck","a1","a2","a3")
     outgroupals <- groupals(underwear,nclus=3,ndim=2,nstart=1,smartStart=TRUE,seed=1234)
     plotrd(outgroupals,attlabel=attlab)