On Fri, Jul 2, 2010 at 4:37 AM, Ralph Modjesch
wrote:
> Hi,
>
> I like to present the results from the clustering method k-means in
> terms of variances: within and between Cluster. The k-means object
> gives only the within cluster sum of squares by cluster, so the between
> variance part is miss
Dear Ralph,
between and within clusters sum of squares (if you want variances, you
need to divide them by the appropriate constant!) add up to the
overall sum of squares, so you can get the beween clusters ss by
computing the overall ss (one possibility to get this is to run kmeans
with k=1)
Hi,
I like to present the results from the clustering method k-means in
terms of variances: within and between Cluster. The k-means object
gives only the within cluster sum of squares by cluster, so the between
variance part is missing,for calculation the following table, which I
try to get.
Numb
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