R help - Dec 2005 - Which cluster function can be used to cluster a correlaiton matrix?

Hi,

I'd got a matrix of correaltion values. Which cluster method can I use
to cluster it?


Best Regards...

>>>>> "Vincent" == Vincent Deng <bioflash at
gmail.com>
>>>>>     on Wed, 28 Dec 2005 17:34:27 +0800 writes:
    Vincent> Hi, I'd got a matrix of correaltion values. Which
    Vincent> cluster method can I use to cluster it?

almost everyone.

The clue is to transform correlations to dissimilarities.
There are several choices for that, and it depends on the
context what you should do. 
If 'Cx' is your correlation matrix, reasonable possibilities are

  Dx <- as.dist(1 - Cx)
  Dx <- as.dist(1 - abs(Cx))
  Dx <- as.dist(sqrt(1 - Cx^2))

and then use  hclust(), agnes(), pam(), [the latter two from
package 'cluster'], ... 
with 'Dx' as dissimilarity

Vincent Deng wrote:
> Hi,
> 
> I'd got a matrix of correaltion values. Which cluster method can I use
> to cluster it?
> 
library(Hmisc)
?varclus