[R] k-means clustering

[Ranjan Maitra]

kmeans(y[,c("AGE", "PRODUCTS")], 3) should do what I think you want. 

Note that you should try several starting points for good optimality of the partitioning.

HTH,
Ranjan

On Mon, 19 Mar 2007 20:12:10 +0100 "Sergio Della Franca" <sergio.della.franca at gmail.com> wrote:

> Dear R-helpers,
> 
> I'm trying to perform k-means clustering.
> 
> For example, I have this dataset(y):
> 
>   AGE   PRODUCTS  SEX
>   92          3253           M
>   43          4144           F
>   67          3246           M
>   22          4144           F
>   56          4087           F
>   89          3836           M
>   47          4379           M
> 
> My situation is the following:
> - If i use this code: cluster<-kmeans(y,3), the program doesn't run because
> the variable "SEX" isn't numeric.
> - If i use this code: cluster<-kmeans(y[,{"AGE"}],3), the program run
> correctly.
> - If i use this code: cluster<-kmeans(y[,{"AGE" ; "PRODUCTS"}],3), the
> program run correctly, but the k-means clustering is performed only on the
> variable "PRODUCTS".
> 
> I would like to perform the k-means clustering on the two numeric variable i
> have.
> How can i modify the k-means code to develop the clustering on numeric
> variable that i decide to use?
> 
> 
> Thank you in advance.
> 
> Sergio Della Franca.
> 
> 	[[alternative HTML version deleted]]
> 
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