Nothing
ubCNN <-
function(X,Y,k=1,verbose=T){
#only numeric features are allowed
is.not.num<-which(sapply(X,is.numeric)==FALSE)
if(length(is.not.num)>0)
stop("only numeric features are allowed to compute nearest neighbors")
S.X<-X
S.Y<-Y
i.1<-which(Y==1)
i.0<-which(Y==0)
N.1<-length(i.1)
N.0<-length(i.0)
if(N.1==0 | N.0==0) {
if(verbose) cat("All instances of the same class \n")
return(list(X=X,Y=Y))
}
#initially C contains all 1s from S and one random 0 obs
id.C<-c(i.1,sample(i.0,1))
C.X<-X[id.C,]
C.Y<-Y[id.C]
#use C to to build a 1-NN and classify all obs in S
Y.knn<-knn(C.X,S.X,C.Y,k)
#move missclassified obs into C
id.miss<-which(S.Y!=Y.knn)
id.C<-c(id.C,id.miss)
# id.C<-sample(id.C)
X<-X[id.C, ]
Y<-Y[id.C]
#now C is consistent with S
return(list(X=X,Y=Y))
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.