Question: Clustering ( 2 0 pts ) : Consider the following approach to grouping n distinct objects p 1 pn on which a distance function d

Clustering (20 pts): Consider the following approach to grouping n distinct objects p1 pn on which a distance function d(pi, pj) is defined such that d(pi, pi)=0, d(pi, pj)>0 if i /:= j (that is, pi and pj are distinct objects), and d(pi, pj)= d(pj, pi)(distances are symmetric.) The clusteringapproach is as follows: divide the n points into k clusters such that we minimize the maximum distance between any two points in the same cluster. That is, we seeklow-diameter clusters. Supposewewant to know whether, for a particular set of n objects, and a bound B, the objects can be partitioned into k sets such that no two points in the same set are further than B apart. Prove that this decision problem is NP-complete.

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