Re: Fitindices to determine optimal clustersolution

Posted by Art Kendall on May 01, 2015; 1:31pm
URL: http://spssx-discussion.165.s1.nabble.com/Fitindices-to-determine-optimal-clustersolution-tp5729419p5729461.html

Look at the proximities documentation and see which are      for continuous data.

Unfortunately, publications from the US Census Bureau do not seem to be available online.  My files with my write ups on that procedure were not returned from sanitizing at the time of the 2001 DC area anthrax events.

TWOSTEP can use contiunous variables, categorical variables, or a mixture of those.  it is certainly one that I would try on the continuous data.

I have not yet had an opportunity to try using TWOSTEP with the cluster membership variables as the profile elements. The idea is (1) to apply (a) a set of Quick Cluster algorithms,e.g.,  Ward, single-linkage, average-linkage, (b) TWOSTEP, and (c) K-means would give you variables showing cluster membership.
(2) use the cluster memberships as the elements of a profile.  IFF it gives meaningful grouping, using TWOSTEP would be a way to find core clusters (3) as in the other post about core clusters, iteratively run DISCRIMINANT using the probabilities of membership to move some cases into the "ungrouped"  value of the variable that contains the core cluster membership.