文件列表:

CDFTSVM-master\Contents.m (706, 2018-01-13)
CDFTSVM-master\data\synthte.mat (15642, 2018-01-13)
CDFTSVM-master\data\synthtr.mat (4219, 2018-01-13)
CDFTSVM-master\distance.m (352, 2018-01-13)
CDFTSVM-master\ftsvmclass.m (2248, 2018-01-13)
CDFTSVM-master\ftsvmplot.m (5340, 2018-01-13)
CDFTSVM-master\ftsvmtrain.m (4013, 2018-01-13)
CDFTSVM-master\fuzzy.m (4078, 2018-01-13)
CDFTSVM-master\images\CDFTSVMLinear.png (162573, 2018-01-13)
CDFTSVM-master\images\CDFTSVMRbf.png (172270, 2018-01-13)
CDFTSVM-master\L1CD.m (2671, 2018-01-13)
CDFTSVM-master\Optimiser\.Makefile.swp (12288, 2018-01-13)
CDFTSVM-master\Optimiser\Makefile (27, 2018-01-13)
CDFTSVM-master\Optimiser\pr_loqo.c (16731, 2018-01-13)
CDFTSVM-master\Optimiser\pr_loqo.h (2388, 2018-01-13)
CDFTSVM-master\Optimiser\qp.c (7245, 2018-01-13)
CDFTSVM-master\Optimiser\qp.dll (49152, 2018-01-13)
CDFTSVM-master\Optimiser\qp.mexw64 (32256, 2018-11-21)
CDFTSVM-master\Optimiser\READEME.md (219, 2018-01-13)
CDFTSVM-master\rbf_kernel.m (622, 2018-01-13)
CDFTSVM-master\setup.m (69, 2018-01-13)
CDFTSVM-master\data (0, 2019-01-25)
CDFTSVM-master\images (0, 2019-01-25)
CDFTSVM-master\Optimiser (0, 2019-01-25)
CDFTSVM-master (0, 2019-01-25)

This package is a MATLAB implementation of ["Coordinate Descent Fuzzy Twin Support Vector Machine for Classification", Bin-Bin Gao, Jian-Jun Wang, Yao Wang and Chan-Yun Yang](http://lamda.nju.edu.cn/gaobb/Pub_files/icmla15_FTWSVM.pdf). You can train cdftsvm model on your own dataset for binary classification problems. This package is created by [Bin-Bin Gao](http://lamda.nju.edu.cn/gaobb/). The CDFTSVM not only inherits the advantages of twin SVM but also leads to a fast and robust classification results. It is suitable for high dimension and noisy inputs. # Usage Instructions In matlab, run demo.m. # Visualization # Additional Information If you find CDFTSVM helpful, please cite it as ``` @inproceedings{gao2015coordinate, title={Coordinate Descent Fuzzy Twin Support Vector Machine for Classification}, author={Gao, Bin-Bin and Wang, Jian-Jun and Wang, Yao and Yang, Chan-Yun}, booktitle={2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA)}, pages={7--12}, year={2015}, organization={IEEE} } ``` For any questions and comments, please send your email to csgaobb@gmail.com. ATTN1: This packages are free for academic usage. You can run them at your own risk. For other purposes, please contact Bin-Bin Gao (csgaobb@gmail.com). ATTN2: This packages were developed by Bin-Bin Gao. For any problem concerning the code, please feel free to contact Bin-Bin Gao (csgaobb@gmail.com). > version: Sep. 16, 2017

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