教師資料查詢 | 類別: 期刊論文 | 教師: 陳宏任 CHEN HUNG-JEN (瀏覽個人網頁)

標題:A Deflected Grid-based Algorithm for Clustering Analysis
學年96
學期2
出版(發表)日期2008/04/01
作品名稱A Deflected Grid-based Algorithm for Clustering Analysis
作品名稱(其他語言)
著者Lin, Nancy P.; Chang, Chung-i; Chueh, Hao-En; Chen, Hung-jen; Hao, Wei-hua
單位淡江大學軍訓室
出版者Athens: The World Scientific and Engineering Academy and Society
著錄名稱、卷期、頁數WSEAS Transactions on Computers 7(4), pp125-132
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.
關鍵字Data Mining;Clustering Algorithm;Grid-based Clustering;Significant Cell;Grid Structure
語言英文
ISSN1109-2750
期刊性質國外
收錄於EI;
產學合作
通訊作者
審稿制度
國別希臘
公開徵稿
出版型式,紙本
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