http://spssx-discussion.165.s1.nabble.com/Fitindices-to-determine-optimal-clustersolution-tp5729419p5729443.html
A collection of macros to compute various internal clustering
criterions: "Clustering criterions" on my page
Hello,
My question is about the selection of the optimal cluster solution. I have
used SPSS version 21.0 to perform a cluster analysis in which the cluster
means from a hierarchical cluster analysis using Ward’s method and squared
euclidian distance are used as starting points in a k-means cluster
analysis.
Several cluster solutions (2-, 3-, 4- and 5-clustersolutions) have been
established in this manner.
Has anyone guidance (and SPSS syntax) concerning the use of fit indices such
as explained variance/eta-squared/adjusted-R squared; Calinski Harabasz
Index, and the Akaike Information Criterion to determine the optimal cluster
solution?
Thank you for your help in advance.
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