張忠義老師的歷程檔案

期刊名稱	20080831--A Deflected Grid-based Algorithm for Clustering Analysis
資料日期	2008-08-31

[英文摘要] :
The grid-based clustering algorithm, which partitions the data space into a finite number of cells to
form a grid structure and then performs all clustering operations on this obtained grid structure, is an efficient
clustering algorithm, but its effect is seriously influenced by the size of the cells. To cluster efficiently and
simultaneously, to reduce the influences of the size of the cells, a new grid-based clustering algorithm, called
DGD, is proposed in this paper. The main idea of DGD algorithm is to deflect the original grid structure in
each dimension of the data space after the clusters generated from this original structure have been obtained.
The deflected grid structure can be considered a dynamic adjustment of the size of the original cells, and thus,
the clusters generated from this deflected grid structure can be used to revise the originally obtained clusters.
The experimental results verify that, indeed, the effect of DGD algorithm is less influenced by the size of the
cells than other grid-based ones.