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Plot Clustered Data

Usage

plot.cluster(clobj, x, centers=TRUE, initcenters=TRUE)

Arguments

clobj Object returned by a clustering algorithm such as kmeans
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)

Description

Plot the data using different colors for each cluster. If x has more than 2 columns, a pairs plot is produced.

Author(s)

Friedrich Leisch and Andreas Weingessel

See Also

kmeans, predict.cluster

Examples

# 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<-kmeans(x,2,20,verbose=TRUE)
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<-kmeans(x,6,20,verbose=TRUE)
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)