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. |
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