Provides tight FPT-time (3+ε)-approximations for capacitated general-norm k-clustering and (1 + 2/(e c) + ε) for top-cn norm k-clustering, plus a bicriteria result.
Approximation algorithms for metric facility location andk-median problems using the primal-dual schema and lagrangian relaxation.Journal of the ACM, 48(2):274–296,
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On Tight FPT Time Approximation Algorithms for k-Clustering Problems
Provides tight FPT-time (3+ε)-approximations for capacitated general-norm k-clustering and (1 + 2/(e c) + ε) for top-cn norm k-clustering, plus a bicriteria result.