IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v14y2003i05ns0129183103004759.html
   My bibliography  Save this article

Support Vector Machine Classification Of Physical And Biological Datasets

Author

Listed:
  • CONG-ZHONG CAI

    (Department of Applied Physics, Chongqing University, Chongqing 400044, P. R. China;
    Bioprocessing Technology Centre, National University of Singapore, MD11, Level 5, 10 Medical Drive, Singapore 117597, Singapore;
    Department of Computational Science, National University of Singapore, Blk SOC1, Level 7, 3 Science Drive 2, Singapore 117543, Singapore)

  • WAN-LU WANG

    (Department of Applied Physics, Chongqing University, Chongqing 400044, P. R. China)

  • YU-ZONG CHEN

    (Department of Computational Science, National University of Singapore, Blk SOC1, Level 7, 3 Science Drive 2, Singapore 117543, Singapore)

Abstract

The support vector machine (SVM) is used in the classification of sonar signals and DNA-binding proteins. Our study on the classification of sonar signals shows that SVM produces a result better than that obtained from other classification methods, which is consistent from the findings of other studies. The testing accuracy of classification is 95.19% as compared with that of 90.4% from multilayered neural network and that of 82.7% from nearest neighbor classifier. From our results on the classification of DNA-binding proteins, one finds that SVM gives a testing accuracy of 82.32%, which is slightly better than that obtained from an earlier study of SVM classification of protein–protein interactions. Hence, our study indicates the usefulness of SVM in the identification of DNA-binding proteins. Further improvements in SVM algorithm and parameters are suggested.

Suggested Citation

  • Cong-Zhong Cai & Wan-Lu Wang & Yu-Zong Chen, 2003. "Support Vector Machine Classification Of Physical And Biological Datasets," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 14(05), pages 575-585.
    • Handle: RePEc:wsi:ijmpcx:v:14:y:2003:i:05:n:s0129183103004759
    DOI: 10.1142/S0129183103004759
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0129183103004759
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0129183103004759?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fedesarrollo, 2001. "Descentralización y ajuste territorial," Coyuntura Económica, Fedesarrollo, March.
    2. Unknown, 2001. "2001 Front Materials: Fourth Quarter," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 16(4), pages 1-5.
    3. Anton J.M. Schoot Uiterkamp, 2001. "CDM and JI in View of the Sustainability Debate," Energy & Environment, , vol. 12(5-6), pages 447-452, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Perlman, Staci & Fantuzzo, John, 2010. "Timing and influence of early experiences of child maltreatment and homelessness on children's educational well-being," Children and Youth Services Review, Elsevier, vol. 32(6), pages 874-883, June.
    2. Chin-Chia Wu & Wen-Chiung Lee & Yau-Ren Shiau, 2011. "A Single-Machine Deteriorating Job Scheduling Problem With A Non-Regular Criterion," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 28(03), pages 349-359.
    3. Hans Van De Vyver, 2008. "Fourth Order Symplectic Integration With Reduced Phase Error," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 19(08), pages 1257-1268.
    4. Songlin Nie & Hui Ji & Yeqing Huang & Zhen Hu & Yongping Li, 2013. "Robust Interval-Based Minimax-Regret Analysis Method For Filter Management Of Fluid Power System," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 30(06), pages 1-40.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijmpcx:v:14:y:2003:i:05:n:s0129183103004759. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijmpc/ijmpc.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.