A feature selection algorithm based on SVM average distance

2010 International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010

Volumn 1, Issue , 2010, Pages 90-93

  Liu, Zhen ^a   Ma, Debao ^a   Feng, Zhihong ^a  

^a ZHENGZHOU INFORMATION SCIENCE AND TECHNOLOGY INSTITUTE   (China)

Author keywords

Average distance; Feature selection; Relief F; Sequential forward selection; SVM

Indexed keywords

AVERAGE DISTANCE; FEATURE REDUNDANCY; FEATURE SELECTION; FEATURE SELECTION ALGORITHM; FEATURE SUBSET SELECTION; MAXIMUM DISTANCE; PUBLIC DATA; RECOGNITION RATES; SEARCH STRATEGIES; SEQUENTIAL FORWARD SELECTION;

ALGORITHMS; MACHINERY; MECHATRONICS; SUPPORT VECTOR MACHINES;

FEATURE EXTRACTION;

EID: 77953165552     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMTMA.2010.792     Document Type: Conference Paper

References (8)

1. Swiniarski. R. W, S. Skowron. A. Rough set methods in feature selection and recognition[J]. Pattern Recognition Letters, 2003, 24(6):833-849. (Pubitemid 35391801)
2. BURGES J c. A tutorial on support vector machines for pattern recognition[J]. Data Mining Knowledge Discovery, 1998, 2(2):121-167.
3. Wu Yong-Hui, Ji Ke-Feng, Yu Wen-Xian. A new feature selection algorithm for SVM-Based fully polarmetric SAR image classification[J]. Signal processing, 2007,23(6).
4. Gilad Bachrach. R, Navot. A, Tishby. N. Margin based feature selection Theory and algorithms[C]. In: Proc of the 21st Intl Conference on Machine Learning. Ban f: ACM Press, 2004, 43-50.
5. Hsu Chih-Wei, Lin Chin-Jen. A comparison of methods for multi-class support vector machines[C]. IEEE Trans on Neural Networks, 2002, 13(2): 415-425.
6. Jiang Sheng-Yi, Zheng Qi, Zhang Qian-Sheng. Clustering-Based feature selection[J]. Journal of electrics, 2008-12 Vol36(No112A).
7. Pudil. P, Novovicova. J, Kittler J. Floating search methods in feature selection[J]. Pattern Recognition Letters, 1994,15:1119-1125.
8. Merz CJ, Merphyp. UCI repository of machine learning databases.URL: http://www.ics.uci.edu/~mlearn/MLRRepository.html, 1996.