[R] Hierarchical Clustering Using Mutual Information

Martin Maechler maechler at stat.math.ethz.ch
Mon Dec 12 17:09:46 CET 2005

>>>>> "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

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