clustrd (version 0.1.2)

FactorialKM: FactorialKM

Description

Implements Factorial k-means (Vichi and Kiers, 2001) which combines Principal Component Analysis for dimension reduction with k-means for clustering.

Usage

FactorialKM(data, nclus, ndim, nstart = 100, smartStart = FALSE)

Arguments

data

quantitative dataset

nclus

number of clusters

ndim

dimensionality of the solution

nstart

number of starts

smartStart

If TRUE then starting values are obtained with k-means

Value

obscoord

object scores

attcoord

attribute scores

centroid

cluster centroids

cluID

cluster membership

criterion

optimal value of the objective function

References

Vichi, M. and Kiers, H.A.L. (2001). Factorial k-means analysis for two-way data. Computational Statistics and Data Analysis, 37, 49-64.

See Also

ReducedKM

Examples

   data(macro)
   macro = data.frame(scale(macro, center = TRUE, scale = TRUE))
   outf <- FactorialKM(macro,3,2,nstart=1,smartStart=TRUE)
   plotrd(outf,what=c("all","none"),obslabel=rownames(macro),density=FALSE)