Re: [R] kernlab::kkmeans initial centers

centers are defined by a 3x4 matrix. > > HTH, > Pascal > > -- > *De :* Ahmed Elgohary > *À :* r-help@r-project.org > *Cc :* Pascal Oettli > *Envoyé le :* Mercredi 3 avril 2013 22h53 > *Objet :* Re: [R] kernlab::kkmeans initial centers >

Re: [R] kernlab::kkmeans initial centers

-help@r-project.org Cc : Pascal Oettli Envoyé le : Mercredi 3 avril 2013 22h53 Objet : Re: [R] kernlab::kkmeans initial centers I am not asking about k-means. I am asking about passing initial assignments to the kernel k means algorithm. In kernel k-means, centroids are not defined explicitly

Re: [R] kernlab::kkmeans initial centers

I am not asking about k-means. I am asking about passing initial assignments to the kernel k means algorithm. In kernel k-means, centroids are not defined explicitly. I tried passing initial centroids in the original feature space though. But, it did not work. The provided example just sets the num

Re: [R] kernlab::kkmeans initial centers

Hi, I would say that if you know what k-means algorithm is, you know the meaning of "initial cluster centers". You can also check the output of the provided example. Regards, Pascal On 04/03/2013 09:27 AM, Ahmed Elgohary wrote: Hi, I am trying to pass initial cluster assignments to the kkm

[R] kernlab::kkmeans initial centers

Hi, I am trying to pass initial cluster assignments to the kkmeans methodof kernlab. It is not clear to me how I can set the parameter *centers* with "initial cluster centers" as stated in the documentation? thanks, --ahmed