Have you tried using the cosine of the angle between two
observations as the similarity measure? If you want to account for
magnitudes, there is something called the jaccard coefficient (if I
remember correctly) that can be used.
Darin
On Mon, Jan 26, 2009 at 10:41:40AM +0100, mau...@alice.it wro
Generally, how to scale different variables when aggregating them in a
dissimilarity measure is strongly dependent on the subject matter, what the
aim of clustering and your "cluster comncept" is. This cannot be answered
properly on such a mailing list.
A standard transformation before computi
I am going to try out a tentative clustering of some feature vectors.
The range of values spanned by the three items making up the features vector is
quite different:
Item-1 goes roughly from 70 to 525 (integer numbers only)
Item-2 is in-between 0 and 1 (all real numbers between 0 and 1)
Item-3 g
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