[R] Help with K-means Clustering

[Roberto Perdisci]

Hi,
 if you use the function kmean in the package stats, for example

clust <- kmeans(data, k, iter.max = 10)

where k is the number of desired cluster, kmeans will choose the first
k centers randomly. Because of this random initialization, after
iter.max iteration the solution may converge to different final
clusters (and therefore different centers and validity measures).

see   ?kmeans  and look at the parameter 'centers'.

Roberto
http://roberto.perdisci.googlepages.com

On Nov 14, 2007 6:07 PM, Alejandro Rodríguez <rodrigueza at schwabe.com.mx> wrote:
>
> Hello, I'm new using R.
>
> I'm trying to develop a K-means Clustering with R for some data I have,
> however each time I use that instruction with the same data my cluster
> means, clustering vector and within cluster sum of square change and I don't
> understand why because I use the same parameters and the same data.
>
> Can anybody explain me why does it happen?
>
> Thank you
>
>
>
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