Movatterモバイル変換

[0]ホーム
URL:

Skip to main content

Advertisement

Springer Nature Link
Log in

A Maximum Class Distance Support Vector Machine-Based Algorithm for Recursive Dimension Reduction

  • Conference paper

Part of the book series:Lecture Notes in Computer Science ((LNTCS,volume 5552))

Included in the following conference series:

  • 1378Accesses

Abstract

A maximum class distance support vector machine based on the recursive dimension reduction is proposed. This algorithm referring to the concept of fisher linear discriminate analysis is introduced to make the distance between the classes as long as possible along the direction of the discriminate vector, and at the same time a classification hyper-plane with the largest distance between the two classes is achieved. Thus the classification hyper-plane can effectively consist with the distribution of samples, resulting to higher classification accuracy. This paper presents the recursive dimension reduction algorithm and its details. Finally, a simulation illustrates the effectiveness of the presented algorithm.

This is a preview of subscription content,log in via an institution to check access.

Access this chapter

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Jin, Z., Yang, J.Y., Tang, Z.M., Hu, Z.S.: A Theorem on the Uncorrelated Optimal Discriminant Vectors. Pattern Recogn. 34, 2041–2047 (2001)

    Article MATH  Google Scholar 

  2. Chakraborty, D., Pal, N.R.: A Neuro-fuzzy Scheme for Simultaneous Feature Selection and Fuzzy Rule-based Classification. IEEE Trans. Neural Networks 15, 110–123 (2004)

    Article  Google Scholar 

  3. Cho, H.W.: Identification of Contributing Variables using Kernel-based Discriminant Modeling and Reconstruction. Expert. Sys. Appl. 33, 274–285 (2007)

    Article  Google Scholar 

  4. Romero, E., Sopena, J.M.: Performing Feature Selection with Multilayer Perceptrons. IEEE Trans. Neural Networks 19, 431–441 (2008)

    Article  Google Scholar 

  5. Louw, N., Steel, S.J.: Variable Selection in Kernel Fisher Discriminant Analysis by Means of Recursive Feature Elimination. Comput. Stat. Data Anal. 51, 2043–2055 (2006)

    Article MathSciNet MATH  Google Scholar 

  6. Zhang, J.H., Wang, Y.Y.: A Rough Margin based Support Vector Machine. Inf. Sci. 148, 2204–2214 (2008)

    Article MathSciNet  Google Scholar 

  7. Vapnik, V.N.: The Nature of Statistical Learning Theory. Publishing House of Electronics Industry, Beijing (2004)

    MATH  Google Scholar 

  8. Bian, Z.Q., Zhang, X.G.: Pattern Recognition. Tsinghua University Press, Beijing (2000)

    Google Scholar 

  9. Tao, Q., Chu, D.J., Wang, J.: Recursive Support Vector Machines for Dimensionality Reduction. IEEE Trans. Neural Networks 19, 189–193 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou, 221116, China

    Zheng Sun, Xiaoguang Zhang, Dianxu Ruan & Guiyun Xu

  2. Department of Electronic Science and Engineering, Nanjing University, Nanjing, 210093, China

    Xiaoguang Zhang

Authors
  1. Zheng Sun

    You can also search for this author inPubMed Google Scholar

  2. Xiaoguang Zhang

    You can also search for this author inPubMed Google Scholar

  3. Dianxu Ruan

    You can also search for this author inPubMed Google Scholar

  4. Guiyun Xu

    You can also search for this author inPubMed Google Scholar

Editor information

Editors and Affiliations

  1. Departamento de Control Automático,, CINVESTAV-IPN,, A.P. 14-740, Av.IPN 2508,, D.F., 07360,, México, México

    Wen Yu

  2. Deptartment of Electrical and Computer Engineering,, Stevens Institute of Technology,, NJ 07030,, Hoboken,, USA

    Haibo He

  3. Dept. of Electrical and Computer Engineering,, South Dakota School of Mines & Technology,, 501 E. St. Joseph Street,, SD 57701,, Rapid City,, USA

    Nian Zhang

Rights and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sun, Z., Zhang, X., Ruan, D., Xu, G. (2009). A Maximum Class Distance Support Vector Machine-Based Algorithm for Recursive Dimension Reduction. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01510-6_29

Download citation

Publish with us

[8]ページ先頭
©2009-2025 Movatter.jp