Dear All, Who can I use Self Organizing Map (SOM) results to cluster samples? I have tried following but this gives me only the clustering of grids, while I want to cluster (150) samples:
library(kohonen) iris.sc <- scale(iris[, 1:4]) iris.som <- som(iris.sc, grid=somgrid(xdim = 3, ydim=3, topo="hexagonal"), rlen=100, alpha=c(0.05,0.01)) ##hierarchical clustering groups <- 3 iris.hc <- cutree(hclust(dist(iris.som$codes[[1]])), groups) iris.hc #V1 V2 V3 V4 V5 V6 V7 V8 V9 #1 1 2 1 1 2 3 3 2 Can anyone help me with this please? -- Tina [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.