The answer is correct, and is the way it should be. Cluster indicators are only
nominal: there is no ordering in the ids, and hence the means are in different
order.
Either way, the reason for this (and you could get totally different answers
also) is because of how R initializes kmeans (random starts) which is clearly
explained in the help on the subject.
Ranjan
On Wed, 28 Mar 2007 17:48:18 +0200 "Sergio Della Franca" <[EMAIL PROTECTED]>
wrote:
> Dear R-Helpers,
>
> I performed kmeans clustering on the following data set(y):
>
> YEAR PRODUCTS
> 1 10
> 2 42
> 3 25
> 4 42
> 5 40
> 6 45
> 7 44
> 8 47
> 9 42
>
>
> with this code:
>
> cluster<-kmeans(y[,c("YEAR","PRODUCTS")],3).
>
> Every time i run this code the components of cluster ("mean" "vector")
> changed value,i.e.
>
> First run:
>
> Cluster means
>
> YEAR PRODUCTS
> 1 7.500000 44.50000
> 2 3.666667 41.33333
> 3 2.000000 17.50000
>
> Clustering vector:
> 1 2 3 4 5 6 7 8 9
> 3 2 3 2 2 1 1 1 1
>
> Second run:
> Cluster means
> YEAR PRODUCTS
> 1 2.000000 17.50000
> 2 3.666667 41.33333
> 3 7.500000 44.50000
>
> Clustering vector:
> 1 2 3 4 5 6 7 8 9
> 1 2 1 2 2 3 3 3 3
>
>
> How can i modify, if it is possible, the code to obtain the same value
> ("mean" "vector") every time i'll run the code?
>
> Thank you in advance.
>
> Sergio Della Franca.
>
> [[alternative HTML version deleted]]
>
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> and provide commented, minimal, self-contained, reproducible code.
>
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