Re: [R] Hierarchical Clustering Using Mutual Information

From: Martin Maechler <maechler_at_stat.math.ethz.ch>
Date: Tue 13 Dec 2005 - 03:09:46 EST

>>>>> "Julio" == Julio Thomas <julio_semprones@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



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