期刊文献+

数据集中强邻近对的查询方法 被引量:9

Methods of strong neighborhood pair query in datasets
在线阅读 下载PDF
导出
摘要 数据集中的强邻近对查询在地理信息系统、图像处理和多媒体数据库等领域有着重要的应用。为了解决数据集中强邻近对查询问题,基于Voronoi图对数据集中强邻近对问题进行了详细研究,给出了在无障碍物和有障碍物环境下查询数据点集中强邻近对的定理和算法,设计了相应的数据存储结构,对在无障碍物和有障碍物环境下的查询数据集中的强邻近对问题进行了实验分析。该方法可较好的解决曲面空间和有障碍物空间中的数据集中强邻近对的查询问题。 The strong neighborhood pair query has important application in geographical information systems, image manipulation and multimedia database. To deal with the strong neighborhood pair query in the datasets, the strong neighborhood pair query is studied detailedly based'on the voronoi diagram. The theorems and algorithms of searching the strong neighborhood pair in the datasets without barriers or with barriers are proposed. To search the points in the database, the corresponding structures of the database are constructed and the experiments for the algorithms are given. The methods can deal with the strong neighborhood pair query of the datasets in the curl surface and the space with barriers.
作者 张丽平 李松
出处 《计算机工程与设计》 CSCD 北大核心 2008年第16期4353-4355,4359,共4页 Computer Engineering and Design
基金 黑龙江省研究生创新科研基金项目(YJSCX2006-13HLJ)
关键词 最近对 VORONOI图 生成点 强邻近对 障碍线 最近邻 closest pair voronoi diagram generate points strong neighborhood pair barry line nearest neighbor
  • 相关文献

参考文献6

  • 1Jim Z C L,Yi-CHING LIAW, Liu Julie.Fast k-nearest-neighbor search based on projection and triangular ine-quality[J].Pattern Recognition,2007,40(2):351-359.
  • 2Dong-Ho Lee,Hyoung-Joo Kim.An efficient technique for nearest-neighbor query processing on the SPY-TEC[J].IEEE Transactions on Knowledge and Data Engineering archive,2003, 15 (6): 1472-1486.
  • 3Corral A, Manolopoulos Y, Theodoridis Y, et al. Algorithms for processing k-closest-pair queries in spatial databases [J]. Data and Knowledge Engineering,2004,49(1):67-104.
  • 4Fabrizio A,Clara P.Approximate k-closest-pairs in large high dimensional data sets[J].Journal of Mathematical Modelling and Algorithms Springer Netherlands,2005,4(2): 149-179.
  • 5Sacl J R,Urrutia J.Voronoi diagrams[M].Handbook on Computational Geometry,2000:201-290.
  • 6高晓燕,史银龙,邹德斌.GIS路网上的无线移动定位算法研究[J].计算机工程与设计,2006,27(5):758-761. 被引量:1

二级参考文献4

  • 1Costa-Requena J, Tang H, Espigares I, Consistent LBS solution in next generations of mobile intemet[A].Parallel and Distri-buted Systems, Ninth International Conference, Proceedings [C].2002. 637-642.
  • 2Location Based Services: Heading in the right direction [EB/OL].2001-01 .Available: http://www/geoplace.
  • 3Wong C L C, Lee M C, Chan R K W, GSM-based mobile positioning using WAP[A].Wireless Communications and Networking Conference[C]. 2000-09.
  • 4Schmidt A, Beigl M Gellersen. There is more to context than location[R]. Rostock, Germany, H-W: Proc of the Intl Workshop on Interactive Applications of Mobile Computing(IMC98), 1998.

同被引文献82

  • 1郝忠孝,刘永山.空间对象的反最近邻查询[J].计算机科学,2005,32(11):115-118. 被引量:12
  • 2葛启,王海涛,朱洪.An Improved Algorithm for Finding the Closest Pair of Points[J].Journal of Computer Science & Technology,2006,21(1):27-31. 被引量:4
  • 3张奋,潘梅生,邹北骥.基于SR-树的空间对象最近邻查询[J].计算机工程与应用,2007,43(4):173-175. 被引量:4
  • 4廖巍,熊伟,王钧,景宁,钟志农.可伸缩的增量连续k近邻查询处理[J].软件学报,2007,18(2):268-278. 被引量:10
  • 5LAI J Z C,Liaw Y C,Liu J.Fast k-nearest-neighbor search based on projection and triangular inequality[J].Pattern Recognition,2007,40 (2):351-359.
  • 6Sack J R,Urrutia J.Closest-point problems in computational geometry[M].Handbook on Computational Geometry.Ottawa:Elsevier Science, 2000 : 877-935.
  • 7Corral A,Manolopoulos Y,Theodoridis Y,et al.Closest pair queries in spatial databases[C]//Proceedings of the ACM SIG-MOD Conference on Management of Data, 2000 :189-200.
  • 8Corral A,Manolopoulos Y,Theodoridis Y,et al.Algorithms for process-ing k-closest-pair queries in spatial databases[J].Data and Knowledge Engineering, 2004,49( 1 ) : 67-104.
  • 9Fabrizio A,Clara P.Approximate k-closest-pairs in large high dimensional data sets[J].Jotrrnal of Mathematical Modelling and Algorithms Soringer Netherlands, 2005,4(2) : 149-179.
  • 10Sacl J R,Urrutia J.Voronoi diagrams[M].Handbook on Computational Geometry.Ottawa:Elsevier Science, 2000: 201-290.

引证文献9

二级引证文献22

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部