Choosing between models
Obviously, if you have a field in the data that you want to predict, then any of the classification models (depending on the target field's measurement level) will perform the task, with varying degrees of success. If you want to find groups of individuals that behave similarly on a number of fields in the data, then any of the clustering methods is appropriate. Association Rules are not going to directly give you the ability to predict, but are extremely useful as a tool for understanding the various patterns within the data.
But if you want to go further and decide which particular technique will work better, then unfortunately the answer is that it depends on the particular data you are working on as well as your ...
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