ReducedKM

Description

Implements Reduced k-means (De Soete and Carroll, 1994) which combines k-means for clustering with PCA for dimension reduction.

Usage

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

Arguments

Value

Author(s)

Markos, A. amarkos@gmail.com, Iodice D'Enza, A. iodicede@gmail.com and Van de Velden, M. vandevelden@ese.eur.nl

References

De Soete, G. and Carroll, J. D. (1994). K-means clustering in a low-dimensional Euclidean space. In Diday E. et al. (Eds.), New Approaches in Classification and Data Analysis, Heidelberg: Springer, 212-219.

See Also

FactorialKM

Examples

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

Results