WANG Shuliang, FAN Jinghua, FANG Meng, et al., “HGCUDF:Hierarchical Grid Clustering Using Data Field,” Chinese Journal of Electronics, vol. 23, no. 1, pp. 37-42, 2014,
Citation: WANG Shuliang, FAN Jinghua, FANG Meng, et al., “HGCUDF:Hierarchical Grid Clustering Using Data Field,” Chinese Journal of Electronics, vol. 23, no. 1, pp. 37-42, 2014,

HGCUDF:Hierarchical Grid Clustering Using Data Field

Funds:  This paper is supported by the National Natural Science Foundation of China (No.61173061, No.71201120), and the Doctoral Fund of Higher Education (No.20121101110036).
  • Received Date: 2012-09-01
  • Rev Recd Date: 2013-09-01
  • Publish Date: 2014-01-05
  • A new clustering algorithm of Hierarchical grid clustering using data field (HGCUDF) is proposed. Under the distributed characteristics of data points on objects, the hierarchical grids divide and conquer the large datasets in their hierarchical subsets, which reduces the scope in search of the clustering centers, and minifies the area of data space for generating data field. The compared experiments show that HGCUDF computes the grids rather than retrieves all data from database, for improving the efficiency.
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    通讯作者: 陈斌,
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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