完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.author | Yang, Tai-Ning | |
| dc.contributor.author | Wang, Sheng-De | |
| dc.date.accessioned | 2009-06-02T07:22:31Z | |
| dc.date.accessioned | 2020-05-29T06:17:09Z | - |
| dc.date.available | 2009-06-02T07:22:31Z | |
| dc.date.available | 2020-05-29T06:17:09Z | - |
| dc.date.issued | 2006-11-13T01:00:21Z | |
| dc.date.submitted | 1999-12-20 | |
| dc.identifier.uri | http://dspace.fcu.edu.tw/handle/2377/3099 | - |
| dc.description.abstract | In this paper, we propose a robust principal component analysis algorithm based on a fuzzy objective function. By defining a fuzzy objective function for considering the outliers in principal component analysis, we derive an on-line robust algorithm that can extract the appropriate principal components from the spoiled data set. An artificially generated data set is used to evaluate the performance of the proposed algorithm. | |
| dc.description.sponsorship | 淡江大學, 台北縣 | |
| dc.format.extent | 4p. | |
| dc.format.extent | 297378 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | zh_TW | |
| dc.relation.ispartofseries | 1999 NCS會議 | |
| dc.subject | neural network | |
| dc.subject | fuzzy theory | |
| dc.subject | principal component extraction | |
| dc.subject | outlier | |
| dc.subject | robust statistics | |
| dc.subject.other | 人工智慧 | |
| dc.title | Principal Component Analysis based on Fuzzy Objective Functions | |
| 分類: | 1999年 NCS 全國計算機會議 | |
文件中的檔案：
| 檔案 | 描述 | 大小 | 格式 | |
|---|---|---|---|---|
| ce07ncs001999000126.pdf | 294.24 kB | Adobe PDF | 檢視/開啟 |
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