plot.cclust {cclust} | R Documentation |
Plot the data using different colors for each cluster. If x
has
more than 2 columns, a pairs
plot is produced.
plot.cclust(clobj, x, centers=TRUE, initcenters=TRUE)
clobj |
Object returned by a clustering algorithm such as
cclust |
x |
Data matrix |
centers |
Mark cluster centers with "X" (for 2-dimensional
data only) |
initcenters |
Mark initial cluster centers with "+" (for
2-dimensional data only) |
Friedrich Leisch and Andreas Weingessel
# a 2-dimensional example x<-rbind(matrix(rnorm(100,sd=0.3),ncol=2), matrix(rnorm(100,mean=1,sd=0.3),ncol=2)) cl<-cclust(x,2,20,verbose=TRUE,method="kmeans") plot(cl,x) # a 3-dimensional example x<-rbind(matrix(rnorm(150,sd=0.3),ncol=3), matrix(rnorm(150,mean=1,sd=0.3),ncol=3), matrix(rnorm(150,mean=2,sd=0.3),ncol=3)) cl<-cclust(x,6,20,verbose=TRUE,method="kmeans") plot(cl,x) # assign classes to some new data y<-rbind(matrix(rnorm(33,sd=0.3),ncol=3), matrix(rnorm(33,mean=1,sd=0.3),ncol=3), matrix(rnorm(3,mean=2,sd=0.3),ncol=3)) ycl<-predict(cl, y) plot(cl,y)