R help - Dec 2005 - Hierarchical Clustering Using Mutual Information

Dear R-helpers,
   
    Is there somebody who knows if R has already a build in function for
Hierarchical Clustering which uses Mutual Information as proximity measure?
   

    Many thanks and best regards,

  J.

		
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>>>>> "Julio" == Julio Thomas <julio_semprones at
yahoo.co.uk>
>>>>>     on Fri, 9 Dec 2005 21:13:20 +0000 (GMT) writes:
    Julio> Dear R-helpers, Is there somebody who knows if R has
    Julio> already a build in function for Hierarchical
    Julio> Clustering which uses Mutual Information as proximity
    Julio> measure?
   
The most prominent hiearchical clustering functions in R,
hclust() and agnes() and diana() {package 'cluster'}, are based
on general dissimilarity "matrices";

so you just need to be able compute  
   d(i,j) <- Mutual_Information( unit[i], unit[j] )
and then use for example hclust().

If 'MI' was a matrix with these numbers, you'd use

    dMI <- as.dist(MI)
    hc.res <- hclust(dMI, ....)
    
    plot(hc.res, .....)
    ....

Martin Maechler, ETH Zurich