| 基于QR分解和支持向量的伪逆LDA |
| |
| 引用本文： | 吴秀清,范丽亚.基于QR分解和支持向量的伪逆LDA[J].聊城大学学报(自然科学版),2011(4):1-5. |
| |
| 作者姓名： | 吴秀清 范丽亚 |
| |
| 作者单位： | 聊城大学数学科学学院 |
| |
| 基金项目： | 国家自然科学基金资助项目(10871226);山东省自然科学基金资助项目(ZR2009AL006) |
| |
| 摘 要： | 为了降低计算复杂性,本文提出了三种基于QR分解和支持向量的伪逆线性判别分析法.通过对UCI数据库中的Wine和Iris数据进行对比实验,验证了本文所提算法对分类问题的有效性和实用性.
|
| 关 键 词： | 伪逆LDA QR分解 支持向量 错分率 |
Pseudo-inverse LDA Based on QR-decomposition and Support Vectors |
| |
| WU Xiu-qing FAN Li-ya.Pseudo-inverse LDA Based on QR-decomposition and Support Vectors[J].Journal of Liaocheng University:Natural Science Edition,2011(4):1-5. |
| |
| Authors: | WU Xiu-qing FAN Li-ya |
| |
| Institution: | WU Xiu-qing FAN Li-ya (School of Mathematicas Science,Liaocheng University,Liaocheng 252059,China) |
| |
| Abstract: | In order to reduce computational complexity,three kinds of pseudo-inverse linear discriminant analysis methods based on QR-decomposition and support vectors are presented in this paper.Based on Wine and Iris datasets taken from UCI database,experiments compared with pseudo-inverse LDA show that the effectiveness and practicality of the three methods for classification results. |
| |
| Keywords: | pseudo-inverse LDA QR-decomposition support vector misclassification rate |
| 本文献已被 CNKI 等数据库收录！ |
