Hi, i have the following problem: I am using k-means algorithm for clustering. But instead of using randomized centers, I would like to use centers created by hierarchical clustering. So I want to apply "hclust" on my data set (in this case the iris data), getting a solution by "cutree", calculating the means/centers of the resulting clusters and use these centers as starting points for k-means clusterng. But I have no idea how I calculate the centers of the clusters and how to use them as starting points for the k-means algorithm.
Hope you can help. Thanks in advance. Mario -- View this message in context: http://r.789695.n4.nabble.com/Using-centers-of-hierarchical-clustering-for-k-means-tp4690704.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.
