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
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