Interpretation of the printout Table 23.1(Agglomeration schedule)
The results start with an agglomeration schedule (Table 23.1) which provides a solution for every possible number of cluster from 1 to 20 (the number of our cases). The column to focus on is the central one which has the heading ‘coeffi cients’. Reading from the bottom upwards, it shows that for one cluster we have an agglomeration coeffi cient of 3453.150, for two clusters 2362.438, for three clusters 1361.651, etc.
If we rewrite the coefficients as in Table 23.2 (not provided on SPSS) it is easier to see the changes in the coefficients as the number of clusters increase. The final column, headed ‘Change’, enables us to determine the optimum number of clusters. In this case it is 3 clusters as succeeding clustering adds very much less to distinguishing between cases.The dendrogram may give support to the agglomeration schedule and in Figure 23.4 shows two clear clusters and a minor one.
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