Hi Barry,

I don't think pam has a way to predict for test observations. However, this
questions was asked and answered earlier.

The approach is to take the medoids generated in pam and use them in a K-nn
algorithm as the training data with K = 1. This way, you can classify your
testing data by identifying the closest medoid (and therefore, the cluster
it belongs to).

Please see the conversation here:
https://stat.ethz.ch/pipermail/r-help/2004-January/044511.html

Regards,
Aaditya


On Mon, May 26, 2014 at 12:50 PM, Barry King <barry.king@qlx.com> wrote:

> I have divided my data into a training set and a test set.
> I have then applied a logistic transformation to the variables
> in the training set and have used pam to assign the observations
> to one of four clusters.
>
> My question is How do I score the test observations now that I have the
> training set with clusters?
>
> Thank you.
>
> --
> __________________________
> *Barry E. King, Ph.D.*
> __________________________
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