| Detection of Line-Symmetry Clusters | |
|---|---|
| 學年 | 100 |
| 學期 | 1 |
| 出版（發表）日期 | 2011-08-01 |
| 作品名稱 | Detection of Line-Symmetry Clusters |
| 作品名稱（其他語言） | |
| 著者 | Hsieh, Yi-Zeng; Su, Mu-Chun; Chou, Chien-Hsing; Wang, Pa-Chun |
| 單位 | 淡江大學電機工程學系 |
| 出版者 | Kumamoto: I C I C International |
| 著錄名稱、卷期、頁數 | International Journal of Innovative Computing, Information and Control 7(8), pp.5027-5043 |
| 摘要 | Many real-world and man-made objects are symmetry. Therefore, it is reasonable to assume that some kinds of symmetry may exist in data clusters. The most common type of symmetry is line symmetry. In this paper, we propose a line symmetry distance measure. Based on the proposed line symmetry distance, a modified version of the K-means algorithm can be used to partition data into clusters with different geometrical shapes. Several data sets are used to test the performance of the proposed modified version of the K-means algorithm incorporated with the line symmetry distance. |
| 關鍵字 | Cluster analysis; Clustering algorithm; Symmetry; Distance measure |
| 語言 | en |
| ISSN | 1349-4198 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 是 |
| 國別 | JPN |
| 公開徵稿 | |
| 出版型式 | 紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/55827 ) |
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