Sciweavers

Share
ESA
2000
Springer

K-D Trees Are Better when Cut on the Longest Side

10 years 5 months ago
K-D Trees Are Better when Cut on the Longest Side
We show that a popular variant of the well known k-d tree data structure satisfies an important packing lemma. This variant is a binary spatial partitioning tree T defined on a set of n points in IRd , for fixed d 1, using the simple rule of splitting each node's hyperrectangular region with a hyperplane that cuts the longest side. An interesting consequence of the packing lemma is that standard algorithms for performing approximate nearest-neighbor searching or range searching queries visit at most O(logd-1 n) nodes of such a tree T in the worst case. Traditionally, many variants of k-d trees have been empirically shown to exhibit polylogarithmic performance, and under certain restrictions in the data distribution some theoretical expected case results have been proven. This result, however, is the first one proving a worst-case polylogarithmic time bound for approximate geometric queries using the simple k-d tree data structure.
Matthew Dickerson, Christian A. Duncan, Michael T.
Added 24 Aug 2010
Updated 24 Aug 2010
Type Conference
Year 2000
Where ESA
Authors Matthew Dickerson, Christian A. Duncan, Michael T. Goodrich
Comments (0)
books