吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (4): 1135-1139.doi: 10.13229/j.cnki.jdxbgxb201404035

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DBSCAN algorithm based on grid cell

LIU Shu-fen, MENG Dong-xue, WANG Xiao-yan   

  1. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2013-04-14 Online:2014-07-01 Published:2014-07-01

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Abstract: To overcome the time overhead shortcoming of Density Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, a modified DBSCAN algorithm based on grid cell is proposed. Using this algorithm the data space is divided into grid cells and large number of unnecessary operations is eliminated, thus the region query process, which is the most time-consuming in DBSCAN algorithm, is optimized. The effects of different grid division methods are analyzed to select the optimal division method, thus improving the total operation efficiency of the algorithm. Simulation results verify that the modified DBSCAN algorithm based on grid cell has higher accuracy and lower time complexity.

Key words: computer application, data mining, cluster analysis, density-based spatial clustering of applications with noise(DBSCAN), grid cell

CLC Number: 

  • TP301.6
[1] 王光宏, 蒋平. 数据挖掘综述[J]. 同济大学学报:自然科学版, 2004, 32(2):246-252. Wang Guang-hong, Jiang Ping. Survey of data mining[J]. Journal of Tongji University(Natural Science), 2004, 32(2):246-252.
[2] 刘明亮, 李雄飞, 孙涛, 等. 数据挖掘技术标准综述[J]. 计算机科学, 2008, 35(6):5-10. Liu Ming-liang, Li Xiong-fei, Sun Tao, et al. Survey of data mining technology standards[J]. Computer Science, 2008, 35(6):5-10.
[3] Yu X, Jian Y. A new clustering algorithm based on KNN and DENClUE[C]∥Proceedings of International Conference on Machine Learning and Cybernetics, Guangzhou, China, 2005: 2033- 2038.
[4] 于智航. 改进的密度聚类算法研究[D].大连:大连理工大学, 2007. Yu Zhi-hang. Reaearch on improved clustering algorithm based on Density[D]. Dalian: Dalian University of Technology, 2007.
[5] 孙吉贵, 刘杰, 赵连宇. 聚类算法研究[J]. 软件学报, 2008, 19(1):48-61. Sun Ji-gui, Liu Jie, Zhao Lian-yu. Clustering algorithms research[J]. Journal of Software, 2008, 19(1):48-61.
[6] 张海龙, 王仁彪, 聂俊, 等. 海量数据的网格启发信息密度聚类算法[J]. 吉林大学学报:工学版, 2011, 41(Sup.2):254-258. Zhang Hai-long, Wang Ren-biao, Nie Jun, et al. Grid heuristic information density clustering algorithm based on mass data[J]. Journal of Jilin University(Engineering and Technology Edition), 2011, 41(Sup.2):254-258.
[7] 李海峰, 吴冀川, 刘建波, 等. 有限元网格剖分与网格质量判定指标[J]. 中国机械工程, 2012, 23(3): 368-377. Li Hai-feng, Wu Ji-chuan, Liu Jian-bo, et al. Finite element mesh generation and decision criteria of mesh quality[J]. China Mechanical Engineering, 2012, 23(3): 368-377.
[8] 冯少荣, 肖文俊. 一种提高DBSCAN聚类算法质量的新方法[J]. 西安电子科技大学学报, 2008, 35(3): 523-529. Feng Shao-rong, Xiao Wen-jun. New method to improve DBSCAN clustering algorithm quality[J]. Journal of Xidian University, 2008, 35(3): 523-529.
[9] 王桂芝, 王广亮. 改进的快速DBSCAN算法[J]. 计算机应用, 2009, 29(9):2505-2508. Wang Gui-zhi, Wang Guang-liang. Improved fast DBSCAN algorithm[J]. Journal of Computer Applications, 2009, 29(9):2505-2508.
[10] 孙玉芬. 基于网格方法的聚类算法研究[D]. 武汉:华中科技大学, 2006 Sun Yu-fen. Study on grid-based clustering algorithms[D].Wuhan: Huazhong University of Science and Technology, 2006.
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