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3. All variables were standardised by z-scores where measurements were on different scales
3. All variables were standardised by z-scores where measurements were on different scales
4. Euclidean distance was chosen as measure of proximity used to compute clusters
5. Ward’s hierarchical clustering algorithm was used in the initial partition as it does not require definition of the number of clusters prior to the clustering procedure – a suitable number of clusters chosen from Ward’s algorithm output.