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Partially Doubling Metrics Clustering

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Partially Doubling Metrics Clustering

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Approximation schemes for $k$-median or facility location problems where only one partition ($X$ or $Y$) of the input points possesses a bounded doubling dimension.

Why It Matters

This extends the class of metrics for which near-linear time approximation schemes exist for the $k$-median problem beyond purely doubling metrics.

Evidence

the case when either X or Y has bounded doubling dimension (but the other set not)

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