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Experimentation with the addition, omission and substitution of variables. Which variables ARE most important. What impact does the addition/subtraction/substitution of variables (such as commuting or distance) have on the cluster output?
Experimentation with the addition, omission and substitution of variables. Which variables ARE most important. What impact does the addition/subtraction/substitution of variables (such as commuting or distance) have on the cluster output?
Does 8 clusters remain the optimum solution?
Experimentation with different measures of proximity and methods of standardisation if necessary.
Optimisation of the classification through the use of an optimising clustering algorithm such as k-means.
A different classification based on migrant flows rather than migrants? Wards rather than districts?