Abstract
In this paper, we consider the connected \(k\)-Center (\(CkC\)) problem, which can be seen as the classic \(k\)-Center problem with the constraint of internal connectedness, i.e., two nodes in a cluster are required to be connected by an internal path in the same cluster. \(CkC\) was first introduced by Ge et al. (ACM Trans Knowl Discov Data 2:7, 2008), in which they showed the \(NP\)-completeness for this problem and claimed a polynomial time approximation algorithm for it. However, the running time of their algorithm might not be polynomial, as one key step of their algorithm involves the computation of an \(NP\)-hard problem. We first present a simple polynomial time greedy-based \(2\)-approximation algorithm for the relaxation of \(CkC\)—the \(CkC^*\). Further, we give a \(6\)-approximation algorithm for \(CkC\).
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Acknowledgments
The authors are indebted to the anonymous referees, whose valuable comments lead to a significant improvements on the presentation of the paper. This work is supported by the National Natural Science Foundation of China (No. 11471005, 11371289).
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Liang, D., Mei, L., Willson, J. et al. A simple greedy approximation algorithm for the minimum connected \(k\)-Center problem. J Comb Optim 31, 1417–1429 (2016). https://doi.org/10.1007/s10878-015-9831-8
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DOI: https://doi.org/10.1007/s10878-015-9831-8