Hi,
I have a matrix of 31 rows and 8 columns. The rows represent attributes
of a product and the columns represent segments in a market. The cell
values are utilities scaled so that the sum of the utilities across
attributes for a segment equals 100. I want to find which attributes
are closely related to which segments. I ran a CA on the matrix and got
an interesting plot. For example, attributes 4 and 6 are "close" to
segment 1 and rows 1 and 2 are "close" to segment 7. Is there any way
to calculate a measure of "closeness" from the ca output so that I can
develop groups of attributes for each segment? I'd like to be able to
have a list of attributes for each segment and a weight on how important
(close?) an attribute is for that segment. Any suggestions?
Thanks,
Walt
--
________________________
Walter R. Paczkowski, Ph.D.
Data Analytics Corp.
44 Hamilton Lane
Plainsboro, NJ 08536
________________________
(V) 609-936-8999
(F) 609-936-3733
dataanalyt...@earthlink.net
www.dataanalyticscorp.com
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