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In the second part of our paper, we show how to embed such a crossing metric, into high-dimensions, so that the distances are preserved. As a result, we can deploy a large collection of subquadratic approximations algorithms \cite im-anntr-98,giv-rahdg-99 for problems involving points with the crossing metric as a distance function. Applications include matching, clustering, nearest-neighbor, and furthest-neighbor.
Appeared in The 16th Annu. ACM Sympos. Comput. Geom..
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@string{SOCG16 = "Proc. 16th Annu. ACM Sympos. Comput. Geom."}
@inproceedings{hi-wccam-00,
author = {S.~Har-Peled and P.~Indyk},
title = {When Crossings Count - Approximating the Minimum
Spanning Tree},
booktitle = SOCG16,
pages = "166--175",
year = 2000,
}