Partially Doubling Metrics Clustering
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)
Related Papers
Metadata & Links
- created_at
- 2026-03-28T05:30:17Z