Date: Tue, 20 Sep 2005 12:28:51 -0700
Reply-To: David L Cassell <davidlcassell@MSN.COM>
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: David L Cassell <davidlcassell@MSN.COM>
Subject: Re: Cluster trim parameter
Content-Type: text/plain; format=flowed
>I realize that I have outliers problem in a cluster analysis so I am trying
>the trim=5 option to cut the 5% of the sample, but I get some errors... Do
>you have the solution to this...
>proc cluster data=cluster outtree=tree method=ward print=15 ccc pseudo
>var var1 var2 var3 var4 var5;
I'm not convinved that you have outlier problems. Well, not from where I
way over here. :-)
Sure, you may have highly non-spherical data. But that doesn't mean your
points are outliers. They may simply belong to a different, very small
(perhaps of size 1, even). You wouldn't want to lose that informaiton,
that tells you something important about that area. Or you may have a
clustering problem which is not suitable to the aggregation method you
chose. Ward's method is *very* sensitive to:
 small clusters
And you seem to have all three conditions. So the problem may be that
you need to use a different METHOD= option.
David L. Cassell
3115 NW Norwood Pl.
Corvallis OR 97330
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