hi, r users I'm a new r user. i want to apply kmeans into every level of the tree which i built.
the codes for clusterring only one level of the tree. ##### d <- dist(data1, method = "euclidean") h1 <- hclust(d, method="ward") c1 <- cutree(h1, 100) # 100 groups which i want to cluster cdg <- aggregate(data1, list(c1),mean)[,2:(nd+1)] ## nd is the attributes i have 3 k1 <- kmeans(daata1, centers=cdg) ###### now i want to cluster every level of the tree in order to search it. any thought about that, thanks for helping. -- View this message in context: http://r.789695.n4.nabble.com/apply-kmeans-into-every-level-of-the-tree-tp3609250p3609250.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list 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.
