Thanks Andy. Google is really useful.
But that page doesn't answer my question, does it?
I repeat: AC highly depends on the value of the
dissimilarity of the last merge.
My question: what is the use of AC?
Weiguang
--- "Liaw, Andy" <[EMAIL PROTECTED]> wrote:
> Google really can be a very useful thing, in case
> you haven't found that.
> This is the first hit I got with `agglomerative
> coefficient':
>
>
http://www.unesco.org/webworld/idams/advguide/Chapt7_1_4.htm
>
> Andy
>
> > From: Weiguang Shi
> >
> > I haven't read the book, but could anyone explain
> more
> > about this parameter?
> >
> > help(agnes) says that ac measures the amount of
> > clustering structure found. From the definition
> given
> > in help(agnes.object), however, it seems that as
> long
> > as
> > the dissimilarity of the merger in the final step
> of
> > the
> > algorithm is large enough, the ac value will be
> close
> > to
> > 1. So what does ac really mean?
> >
> > Thank you,
> > Weiguang
> >
> > ______________________________________________
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> > PLEASE do read the posting guide!
> > http://www.R-project.org/posting-guide.html
> >
> >
>
>
>
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