MultipleFeatures: Fourier coefficients describing the shape of many hand...
In FastHCS: Robust Algorithm for Principal Component Analysis

Description Usage Format Source Examples

A data frame with the subset of the 'Multiple Features' dataset corresponding to the sample of '0' and '1' numerals.

1	data(MultipleFeatures)

Labels: Numerals.
Column 2–77: Fourier coefficients describing the shape of each observation.

Van Breukelen, M. Duin, R.P.W. Tax, D.M.J. and Den Hartog, J.E. (1998). Handwritten digit recognition by combined classifiers, Kybernetika, vol. 34, 381–386.

data(MultipleFeatures)
alpha<-0.5
Q<-15
p<-ncol(MultipleFeatures[,-1])
ns<-FHCSnumStarts(q=Q,eps=(1-alpha)*4/5)
RunExample<-FALSE
if(RunExample){
	Fit<-FastHCS(x=MultipleFeatures[,-1],q=Q,nSamp=ns,seed=1)
	colvec<-rep("orange",nrow(MultipleFeatures))
	colvec[MultipleFeatures[,1]==1]<-"blue"
	plot(Fit,col=colvec,pch=16)
}