| 查看: 1282 | 回复: 9 | |||
[交流]
2010年09月02日 ICICTA2010被EI 检索！！！ 已有7人参与
|
|
2010年09月02日 ICICTA2010被EI 检索！！！ 2010年09月02日 ICICTA2010被EI 检索！！！ 2010年09月02日 ICICTA2010被EI 检索！！！ 2010年09月02日 ICICTA2010被EI 检索！！！ |
回复此楼» 猜你喜欢
0854可跨调剂，一作一项核心论文五项专利，省、国级证书40+数一英一287
已经有5人回复
-
070300化学319求调剂
已经有6人回复
-
一志愿985，本科211，0817化学工程与技术319求调剂
已经有6人回复
-
一志愿西南交大，求调剂
已经有3人回复
-
286求调剂
已经有6人回复
-
焦虑
已经有11人回复
-
331求调剂（0703有机化学
已经有7人回复
-
298-一志愿中国农业大学-求调剂
已经有5人回复
-
297求调剂
已经有5人回复
-
302求调剂
已经有10人回复
2楼2010-09-02 10:00:04
★
小木虫(金币+0.5):给个红包，谢谢回帖交流
小木虫(金币+0.5):给个红包，谢谢回帖交流
恭喜恭喜 |
3楼2010-09-02 11:08:09
我心永恒1567
木虫 (正式写手)
- 应助: 0 (幼儿园)
- 金币: 3975.3
- 散金: 5
- 红花: 1
- 帖子: 359
- 在线: 255.2小时
- 虫号: 601710
- 注册: 2008-09-13
- 性别: GG
- 专业: 植物化学保护
4楼2010-09-02 13:30:21
pplain
木虫 (著名写手)
- 应助: 1 (幼儿园)
- 金币: 2264.4
- 散金: 61
- 红花: 6
- 帖子: 1469
- 在线: 187.4小时
- 虫号: 974162
- 注册: 2010-03-17
- 专业: 企业信息管理
5楼2010-09-02 13:46:29
6楼2010-09-02 16:12:39
我心永恒1567
木虫 (正式写手)
- 应助: 0 (幼儿园)
- 金币: 3975.3
- 散金: 5
- 红花: 1
- 帖子: 359
- 在线: 255.2小时
- 虫号: 601710
- 注册: 2008-09-13
- 性别: GG
- 专业: 植物化学保护
★
小木虫(金币+0.5):给个红包，谢谢回帖交流
小木虫(金币+0.5):给个红包，谢谢回帖交流
|
Accession number: 20103413169767 Title: Feature selection through optimization of k-nearest neighbor matching gain Authors: Luo, Yihui1 ; Xiong, Shuchu1 Author affiliation: 1 Department of Information, Hunan University of Commerce, Changsha, China Corresponding author: Luo, Y. (yihuiluo@yahoo.com.cn) Source title: 2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010 Abbreviated source title: Int. Conf. Intelligent Comput. Technol. Autom., ICICTA Volume: 2 Monograph title: 2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010 Issue date: 2010 Publication year: 2010 Pages: 309-312 Article number: 5522419 Language: English ISBN-13: 9780769540771 Document type: Conference article (CA) Conference name: 2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010 Conference date: May 11, 2010 - May 12, 2010 Conference location: Changsha, China Conference code: 81471 Sponsor: IEEE Intelligent Computation Society; Res. Assoc. Intelligent Comput. Technol. Autom.; Hunan University; Changsha University of Science and Technology; Hunan University of Science and Technology Publisher: IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract: Many problems in information processing involve some form of dimensionality reduction. In this paper, we propose a new model for feature evaluation and selection in unsupervised learning scenarios. The model makes no special assumptions on the nature of the data set. For each of the data set, the original features induce a ranking list of items in its k nearest neighbors. The evaluation criterion favors reduced features that result in the most consistent to these ranked lists. And an efficiently local descent search based on the model is adopted to select the reduced features. Our experiments with several data sets demonstrate that the proposed algorithm is able to detect completely irrelevant features and to remove some additional features without significantly hurting the performance of the clustering algorithm. © 2010 IEEE. Number of references: 11 Main heading: Feature extraction Controlled terms: Clustering algorithms - Data processing - Unsupervised learning Uncontrolled terms: Data sets - Dimensionality reduction - Evaluation criteria - Feature evaluation and selection - Feature selection - Information processing - K-nearest neighbors - New model - Search-based Classification code: 716 Telecommunication; Radar, Radio and Television - 721 Computer Circuits and Logic Elements - 723 Computer Software, Data Handling and Applications DOI: 10.1109/ICICTA.2010.608 Database: Compendex Compilation and indexing terms, © 2010 Elsevier Inc. |
7楼2010-09-02 16:42:14
8楼2010-09-02 16:43:27
★
小木虫: 金币+0.5, 给个红包，谢谢回帖
小木虫: 金币+0.5, 给个红包，谢谢回帖
|
本帖内容被屏蔽 |
9楼2017-05-31 19:39:53
wjbt232394
禁虫 (初入文坛)
★
小木虫: 金币+0.5, 给个红包，谢谢回帖
小木虫: 金币+0.5, 给个红包，谢谢回帖
|
本帖内容被屏蔽 |
10楼2017-06-08 14:59:22
