Perform clustering efficiently under kinds of constraints

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For constraint-based clustering, aside from having the minimum number of customers in each cluster (for ATM allocation) as a constraint, there can be many other kinds of constraints. For example, a constraint could be in the form of the maximum number of customers per cluster, average income of customers per cluster, maximum distance between every two clusters, and so on. Categorize the kinds of constraints that can be imposed on the clusters produced and discuss how to perform clustering efficiently under such kinds of constraints.

Reference no: EM131221628

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