Earticle

초록

영어

Aiming at the characteristics of high dimension and small samples in microarray data, this paper proposes a selective ensemble method to classify microarray data. Firstly, kruskal-wallis test is used to filter irrelevant genes with classification task and to obtain a set of genes, and then a reduced training set is produced from original training set according to gene subset obtained. Secondly, multiple gene subsets are generated by using neighborhood rough set model with different radius and used to construct training subsets on above reduced training set. Thirdly, every constructed training subset is used to train a classifier by using SVM algorithm, and then multiple classifiers are produced as base classifiers. Finally, a set of base classifiers are selected by using teaching-learning-based optimization and build an ensemble classifier by weighted voting. Five benchmarks tumor microarray datasets are applied to evaluate performance of our proposed method. Experimental results indicate our proposed method is very effective and efficient for classifying microarray data, and it improves not only classification accuracy, but also decrease memory costs and computation times.

목차

Abstract
 1. Introduction
 2. Materials and Methods
  2.1 Kruskal-Wallis Test
  2.2 Neighborhood Rough Set Model
  2.3 Teaching-Learning-Based Optimization
 3. Our Proposed Method
 4. Experiment
  4.1 Experimental Datasets and Methods
  4.2 Experimental Results and Analysis
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Tao Chen [ School of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi, 710072, China, School of Mathematics and Computer Science, Shaanxi University of Technology, Hanzhong, Shaanxi, 723000, China ] Corresponding author
• Zenglin Hong [ School of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi, 710072, China ]
• Fang-an Deng [ School of Mathematics and Computer Science, Shaanxi University of Technology, Hanzhong, Shaanxi, 723000, China ]
• Xiao Yang [ School of Mathematics and Computer Science, Shaanxi University of Technology, Hanzhong, Shaanxi, 723000, China ]
• Jun Wei [ School of Mathematics and Computer Science, Shaanxi University of Technology, Hanzhong, Shaanxi, 723000, China ]
• Man Cui [ School of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi, 710072, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605