Title: | COMPUTING THE K-RELATIVE NEIGHBORHOOD GRAPHS IN EUCLIDEAN PLANE |
Authors: | SU, TH CHANG, RC 資訊科學與工程研究所 Institute of Computer Science and Engineering |
Keywords: | COMPUTATIONAL GEOMETRY;PATTERN RECOGNITION;RELATIVE NEIGHBORHOOD GRAPH;GEOGRAPHICAL NEIGHBORHOOD GRAPH;BOTTLENECK MATCHING |
Issue Date: | 1991 |
Abstract: | In this paper, we will propose an O(n5/3log n) algorithm to construct the k-relative neighborhood graph of a n points set in Euclidean plane, for fixed k. Based on this result, the Euclidean bottleneck matching problem can also be solved in the same time complexity. The k-relative neighborhood graph is a generalization of the relative neighborhood graph. |
URI: | http://hdl.handle.net/11536/3900 http://dx.doi.org/10.1016/0031-3203(91)90065-D |
ISSN: | 0031-3203 |
DOI: | 10.1016/0031-3203(91)90065-D |
Journal: | PATTERN RECOGNITION |
Volume: | 24 |
Issue: | 3 |
Begin Page: | 231 |
End Page: | 239 |
Appears in Collections: | Articles |