I published a method, AHCS, based on that idea (generalized distances
between groups as they are formed during the clustering process) a number of
years ago. One has to be careful with it as it has some unexpected
properties.

--------------------
F. James Rohlf, Distinguished Professor,
Dept. Ecology & Evolution, Stony Brook University, Stony Brook, NY
11794-5345
Web: http://life.bio.sunysb.edu/ee/rohlf
Morphometrics: http://life.bio.sunysb.edu/morph

 

> -----Original Message-----
> From: morphmet [mailto:[EMAIL PROTECTED] 
> Sent: Monday, May 02, 2005 9:51 AM
> To: morphmet
> Subject: Re: UPGMA in morphometrics
> 
> 
> To use Mahalanobis distances for an agglomerative clustering 
> algorithm is a good thing. But this shouldn't be called 
> UPGMA, which measures the distance between two groups as the 
> average of all distances (however defined) between individual 
> members of the groups. The Mahalanobis distance is not taken 
> between individual members, but between the groups as wholes.
> 
> As far as I understand.
> 
> 
> Oyvind Hammer
> Geological Museum
> University of Oslo
> 
> 
> On Sun, 1 May 2005, morphmet wrote:
> 
> >
> > Hi all,
> >
> > in literature, several people have been using Procrustes 
> distances as 
> > the data for a cluster-analysis, more specifically UPGMA. 
> When doing 
> > so, the Procrustes distances between the consensus 
> configurations of 
> > each OTU are used to calculate a tree based on shape similarities 
> > between the consensusses. However, when using Procrustes distances, 
> > one is ignoring possible differences in the amount of within-group 
> > variation (or is assuming it is the same for all the 
> OTU's), not? The 
> > Procrustes distance between the means of three groups can be the 
> > identical, but because of overlapping variations within two 
> of them, 
> > the shape distance will in many cases be much lower.
> >
> > So my question is, whether it is not wiser to use the Squared 
> > Mahalanobis distances of a canonical variate analysis 
> (based on weight 
> > matrix), as a measure of shape distance between group means for a 
> > UPGMA, as this does take into account the amount of within-group 
> > variation (and as I understood even standardises it). Does 
> this make 
> > sense or is there some mathematical-statistical pitfall behind it?
> >
> > cheers
> >
> > Dominique Adriaens
> >
> >
> >
> >
> >
> > Prof. Dr. Dominique Adriaens
> >
> > Ghent University
> >
> > Evolutionary Morphology of Vertebrates & Zoology Museum
> >
> > K.L. Ledeganckstraat 35, B-9000 Gent
> >
> > BELGIUM
> >
> > tel: +32 9 264.52.19, fax: +32 9 264.53.44
> >
> > E-mail: [EMAIL PROTECTED]
> >
> > URL: http://www.fun-morph.ugent.be/
> >
> > http://www.zoologymuseum.ugent.be/
> >
> >
> >
> >
> >
> > --
> > Replies will be sent to the list.
> > For more information visit http://www.morphometrics.org
> >
> >
> --
> Replies will be sent to the list.
> For more information visit http://www.morphometrics.org
> 

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