教師資料查詢 | 類別: 會議論文 | 教師: 林丕靜 NANCY PEI-CHING LIN (瀏覽個人網頁)

標題:An Adaptive Crossover-Imaged Clustering Algorithm
學年96
學期1
發表日期2007/09/15
作品名稱An Adaptive Crossover-Imaged Clustering Algorithm
作品名稱(其他語言)
著者Lin, Nancy P.; Chang, Chung-i; Chen, Hung-jen; Chueh, Hao-en; Hao, Wei-hua
作品所屬單位淡江大學資訊工程學系; 淡江大學軍訓室
出版者World Scientific and Engineering Academy and Society (WSEAS)
會議名稱7th WSEAS International Conference on Simulation, Modelling and Optimization(SMO'07), pp.213-218
會議地點Beijing, China
摘要The grid-based clustering algorithm is an efficient clustering algorithm, but its effect is seriously influenced by the size of the predefined grids and the threshold of the significant cells. The data space will be partitioned into a finite number of cells to form a grid structure and then performs all clustering operations on this obtained grid structure. To cluster efficiently and simultaneously, to reduce the influences of the size of the cells and inherits the advantage with the low time complexity, an Adaptive Crossover-Imaged Clustering Algorithm, called ACICA, is proposed in this paper. The main idea of ACICA algorithm is to deflect the original grid structure in each dimension of the data space after the image of significant cells generated from the original grid structure have been obtained. Because the deflected grid structure can be considered a dynamic adjustment of the size of original cells and the threshold of significant cells, the new image generated from this deflected grid structure will be used to revise the originally obtained significant cells. Hence, the new image of significant cells is projected on the original grid structure to be the crossover image. Finally the clusters will be generated from this crossover image. The experimental results verify that, indeed, the effect of ACICA algorithm is less influenced by the size of the cells than other grid-based algorithms. Finally, we will verify by experiment that the results of our proposed ACICA algorithm outperforms than others.
關鍵字Data Mining;Grid Structure;Crossover Image;Significant Cell;Deflected Grid;Data Mining; Grid Structure; Crossover Image; Significant Cell; Deflected Grid
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20070915~20070917
通訊作者
國別中國
公開徵稿
出版型式紙本
出處Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization (SMO’07), pp.213-218
相關連結
Google+ 推薦功能,讓全世界都能看到您的推薦!