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Voronoi图的构建与查询方法 被引量:1

Construction and Query Methods of Voronoi Diagram
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摘要 Voronoi图在图像处理、网络数据分析、空间信息检测、空间定位查询和路网轨迹分析等领域具有重要作用。为了有效构建Voronoi图,研究了利用Delannay三角网和影响区域对Voronoi图进行构建和动态更新的方法。探讨了基于Voronoi图进行空间近邻关系查询的主要方法。基于研究的方法,设计和开发了Voronoi图的生成与应用系统,该系统具有较好的应用性能。 The Voronoi diagram plays great role in image processing, network data analysis, spatial information detection, space location and road network trajectory etc. To construct the Voronoi diagram effectively, the construction and update method of the Voronoi diagram based on the delaunay triangle network and influence area is studied. The methods of searching the spatial near neighbor relations based on the Voronoi diagram are discussed. The software system for the Voronoi diagram is designed and developed, which has preferable performance.
出处 《计算机与数字工程》 2014年第9期1701-1704,共4页 Computer & Digital Engineering
基金 黑龙江省大学生创新创业训练计划项目(编号:201310214030) 国家自然科学基金(编号:61103149) 黑龙江省自然科学基金(编号:F201302)资助
关键词 VORONOI图 DELAUNAY三角网 最近邻 近邻对 Voronoi diagram, Delaunay triangle network, nearest neighbor, near neighbor pair
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  • 1C. C. Aggarwal. Social Network Data Analytics[M]. Germany: Springer Science Business Media, 2011.
  • 2David Lazer, Alex Pentland, Lada Adamic, et al.Computational Social Science [ J ]. Science, 2009, 323 (5915) :721-723.
  • 3Albert-Ldszl6 Barabdsi. The origin of bursts and heavy tails in human dynamics[J]. Nature, 2005 : 207-211.
  • 4Salton, G. , McGill, M. J. Introduction to modern in- formation retrieval[M]. New York: McGraw-Hill, 1983.
  • 5T. Hofmann. Probabilistic Latent Semantic Indexing [C]//Conference SIGIR, 1999: 50-57.
  • 6D. M. Blei, A. Y. Ng, M. I. Jordan. Latent Dirichlet Allocation[J]. Journal of Machine Learning Research, 2003,3 : 993-1022.
  • 7Daniel D. Lee, H. Sebastian Seung. Learning the parts of objects by non-negative matrix factorization[J]. Na- ture 401, 21 October, 1999: 788-791.
  • 8Z. -Y. Zhang. Nonnegative Matrix Factorization: Mod- els, Algorithms and Applications [C]//Data Mining: Foundations and Intelligent Paradigms, Springer, 2012 : 99-134.
  • 9Y:X. Wang, Y:J. Zhang. Non-negative Matrix Fac- torization: a Comprehensive Review[C]//IEEE Trans- actions on Knowledge and Data Engineering, 2013.
  • 10Scott Deerwester, Susan T. I)umais, George W. Fur- nas, et al. Indexing by Latent Semantic Analysis[J]. Journal of the American Society for Information Sci- ence, 1990,41(6) :391-407.

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