Can you extend the k-means method to handle this constraint

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Reference no: EM131221565

Consider partitioning clustering and the following constraint on clusters: The number of objects in each cluster must be between

Where n is the total number of objects in the data set, k is the number of clusters desired, and δ in [0,1) is a parameter. Can you extend the k-means method to handle this constraint? Discuss situations where the constraint is hard and soft.

Reference no: EM131221565

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