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