| Integration of FCM and Agglomeration with Kohonen Clustering Networks | |
|---|---|
| 學年 | 88 |
| 學期 | 1 |
| 發表日期 | 1999-08-17 |
| 作品名稱 | Integration of FCM and Agglomeration with Kohonen Clustering Networks |
| 作品名稱（其他語言） | |
| 著者 | Hsieh, Ching-Tang; Lai, Eugene; Ye, Jin-Ruong; Hung, Kuo-Ming |
| 作品所屬單位 | 淡江大學電機工程學系 |
| 出版者 | |
| 會議名稱 | 第八屆國際模糊系統學會世界年會暨研討會=Eighth International Fuzzy Systems Association World Congress |
| 會議地點 | 臺北市, 臺灣 |
| 摘要 | The study of classical pattern recognition most closely related to the Kohonen self-organizing algorithms is known as cluster analysis. This class of algorithms is a set of heuristic procedures that suffers from several problems. We present a fuzzy agglomeration Kohonen clustering network which integrates the competitive agglomeration model into the learning rate and updating strategies of the Kohonen network. The objective function of competitive agglomeration composes of two terms: one is similar to the Fuzzy C-means (FCM) objective function; the other is the sum of squares of the cardinalities of clusters which allows us to control the number of clusters. This yields an optimization problem related to competitive agglomeration. Anderson's IRIS data are used to illustrate this method; and results are compared with the standard Kohonen approach and the fuzzy Kohonen clustering network. |
| 關鍵字 | 叢聚分析;柯霍氏網路;模糊集合;凝聚;非督導性學習;Clustering Analysis;Kohonen Network;Fuzzy Set;Agglomeration;Unsupervised Learning |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | |
| 研討會時間 | 19990817~19990820 |
| 通訊作者 | |
| 國別 | TWN |
| 公開徵稿 | Y |
| 出版型式 | 紙本 |
| 出處 | 第八屆國際模糊系統學會世界年會暨研討會論文集﹝第二冊﹞=Proceedings of the Eighth International Fuzzy Systems Association World Congress ( Vol.II )，頁757-761 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96022 ) |
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