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.