| A neural-network-based approach to detecting hyperellipsoidal shells | |
|---|---|
| 學年 | 87 |
| 學期 | 2 |
| 出版（發表）日期 | 1999-06-01 |
| 作品名稱 | A neural-network-based approach to detecting hyperellipsoidal shells |
| 作品名稱（其他語言） | |
| 著者 | 蘇木春; Su, Mu-chun; Liu, I-chen |
| 單位 | 淡江大學電機工程學系 |
| 出版者 | Springer |
| 著錄名稱、卷期、頁數 | Neural Processing Letters 9(3), pp.279-292 |
| 摘要 | This paper presents a novel class of neural networks which can be trained in an unsupervised manner to detect a mixture of hyperellipsoidal shells and/or segments of hyperellipsoidal shells. This approach is computationally and implementationally simpler than other clustering algorithms that have been suggested for this purpose. Experimental results on several data sets are presented. |
| 關鍵字 | cluster analysis;neural networks;shell detection |
| 語言 | en_US |
| ISSN | 1370-4621 |
| 期刊性質 | 國外 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | USA |
| 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/987654321/46121 ) |
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