Abstract
We introduce a new problem in the study of doubling spaces: Given a point set S and a target dimension d *, remove from S the fewest number of points so that the remaining set has doubling dimension at most d *. We present a bicriteria approximation for this problem, and extend this algorithm to solve a group of proximity problems.
This work was supported in part by The Israel Science Foundation (grant #452/08), and by a Minerva grant.
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Gottlieb, LA., Krauthgamer, R. (2010). Proximity Algorithms for Nearly-Doubling Spaces. In: Serna, M., Shaltiel, R., Jansen, K., Rolim, J. (eds) Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques. RANDOM APPROX 2010 2010. Lecture Notes in Computer Science, vol 6302. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15369-3_15
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