[R] Any way to pre-set the number of observations for each cluster with kmeans?

[Ranjan Maitra]

Hello Taak,

I don't believe that this can be done. What you are asking for is
essentially a constrained k-means algorithm with the constraint that
regardless of the consequences (higher within sum or squares), you
restrict each of the K groups to have at least N observations: within
this constraint, you would like to minimize the WSS. You have to
redevelop the k-means algorithm and rewrite the appropriate code as
needed.

It appears that you may have a specific application for which you need
this particular set-up. Do you really need to use k-means for this
clustering? 

Many thanks,
Ranjan

On Sun, 29 Dec 2013 19:57:56 +0900 Takatsugu Kobayashi
<taquito2007 at gmail.com> wrote:

> Hi Rusers,
> 
> This is a simple question, but I cannot find an answer to it yet.
> I am currently running kmeans with a constraint that each cluster has at
> least an N observations. I look at Kmeans and thought "nstart" is the one,
> but it didn't work.
> 
> Could you please let me know if there are other packages that will do this?
> 
> Thank you so much.
> 
> Best,
> 
> Taak
> 
> 	[[alternative HTML version deleted]]
> 
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