MultipleFeatures {FastHCS} | R Documentation |
A data frame with the subset of the 'Multiple Features' dataset corresponding to the sample of '0' and '1' numerals.
MultipleFeatures
Numerals.
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) }