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Re: Fitindices to determine optimal clustersolution

Posted by MaaikeSmits on Apr 29, 2015; 5:05pm
URL: http://spssx-discussion.165.s1.nabble.com/Fitindices-to-determine-optimal-clustersolution-tp5729419p5729437.html

Hello,

Thank you for taking interest in my question. I will try to provide you with additional information on your questions.

From a total of 225 cases, 187 were included in the cluster analysis (20 cases were lost as a result of missing data on one or more of the 10 input variables and another 18 were excluded because they showed to be extreme outliers on one or more of the input variables).

I started with a hierarchical cluster analysis on this 187 cases and the cluster means that resulted from this procedure were used as non-random starting points in the k-means cluster analysis, which was also done on these same 187 cases. So, I did not select subsamples for the hierarchical nor the k-means procedure, but ran both on the whole sample.

The 10 (standardized) dimensional scores that were used as input variables for the cluster analysis were fairly unrelated, most below .1, a few of .3 or .4.

I hope I have given you the relevant answers to be able to provide some guidance on my question. Of course I will be happy to provide more detailed information if necessary.

Kind Regards
Maaike





2015-04-29 17:08 GMT+02:00 Art Kendall [via SPSSX Discussion] <[hidden email]>:
How many cases do you have in the whole data set?

How were the cases selected?

Are you variables reasonably uncorrelated?

Am I reading correctly that you used the cluster profiles from the Ward method to start the k-means?

How many samples from the whole set of cases did you use for the Ward method?

How large were those samples?
Art Kendall
Social Research Consultants



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