Nothing
#Replaces the label of the outlier cells with the label of the closest cluster.
OutlierRemover <-
function(x, Label, MaxCovN){
n <- max(Label);
mat=matrix(0,n,n)
L <- list();
Cov <- list();
for (i in 1:n){
L[[i]] <- x[which(Label==i),]
MaxCovN<-min(MaxCovN, length(L[[i]][,1]));
Cov[[i]] <- cov(L[[i]][1:MaxCovN,])
}
for (i in 1:length(Label)){
if ((Label[i]==0) || is.na(Label[i]) || is.nan(Label[[i]])){
Label[i] <- 1;
Min <- mean(mahalanobis(L[[1]], as.matrix(x[i,]), Cov[[1]]))
for (j in 2:n){
temp <- mean(mahalanobis(L[[j]], as.matrix(x[i,]), Cov[[j]]))
if (temp<Min){
Label[i] <- j;
Min <- temp
}
}
}
}
return(Label);
}
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