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    Hierarchical Clustering

    This page demonstrates hierarchical clustering with R.
    Draw a sample of 40 records from iris data, and remove variable Species
    > idx <- sample(1:dim(iris)[1], 40)
    > irisSample <- iris[idx,]
    > irisSample$Species <- NULL


    Hierarchical clustering
    > hc <- hclust(dist(irisSample), method="ave")
    > plot(hc, hang = -1, labels=iris$Species[idx])




    More examples on data clustering with R and other data mining techniques can be found in my book "R and Data Mining: Examples and Case Studies", which is downloadable as a .PDF file at the link.