predict.cclust {cclust} | R Documentation |
Assigns each data point (row in x
) the cluster corresponding to
the closest center found in clobj
.
predict.cclust(clobj, x)
clobj |
Object returned by a clustering algorithm such as
cclust |
x |
Data matrix |
predict.cclust
returns an object of class "cclust".
Only size
is changed as compared to the argument
clobj
.
cluster |
Vector containing the indices of the clusters where the data is mapped. |
size |
The number of data points in each cluster. |
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(ycl,y)