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.
Centrality of trees for capacitatedk-center.Mathematical Programming, 154(1):29–53, 2015
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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.