Name | Modified | Size | Downloads / Week |
---|---|---|---|
Test3.m | 2013-12-27 | 1.9 kB | |
ReadMe.txt | 2013-12-27 | 451 Bytes | |
mnistAll.mat | 2013-12-27 | 11.9 MB | |
LoadDataOfTest3.m | 2013-12-27 | 1.2 kB | |
Totals: 4 Items | 11.9 MB | 0 |
This program demonstrates the application of principal component analysis on hand-writing recognition. The related data is stored in mnistAll.mat. The program uses minimum-distance classifier to discriminate. The better way is to use more advanced methods such as Fisher's multi-class criterion The correct rate is around 0.7. The program is created by Pengfei Chen on Nov. 13, 2013. Copyright (C) 2013 by Pengfei Chen jiyuanyizhong@hotmail.com