Hello I have a large dataset to make a cluster analysis and I'm trying to use Rclusterpp to do so.
Nevertheless in a sample matrix analysis (see http://dl.dropbox.com/u/755659/gillnet.txt) I'm getting different results from Rclusterpp and hclust. Following the example from "An Introduction to Rclusterpp" ( http://cran.r-project.org/web/packages/Rclusterpp/vignettes/Rclusterpp.pdf) I got: dat.gillnet <- read.csv("http://dl.dropbox.com/u/755659/gillnet.txt ",sep=",",dec=".",row.names=1) h <- hclust(dist(dat.gillnet, method="euclidean"), method="ward") r <- Rclusterpp.hclust(dat.gillnet, method="ward", distance="euclidean") identical(h$merge, r$merge) && all.equal(h$height, r$height) [1] FALSE If one plot the clusters will see the differences. But the purpose of the package is to "deliver identical results as the stock stats::hclust implementation." Am I doing something wrong? Thanks for any help. Best regards, Antonio Olinto [[alternative HTML version deleted]]
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