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A New Feature Extraction Method Based on the Partial Least Squares Algorithm and Its Applications

  • Pawel Blaszczyk
  • Katarzyna Stapor
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 57)

Summary

The aim of this paper is to present a new feature extraction method. Our method is an extension of the classical Partial Least Squares (PLS) algorithm. However, a new weighted separation criterion is applied which is based on the within and between scatter matrices. In order to compare the performance of the classification the biological and spam datasets are used.

Keywords

Feature Extraction Partial Little Square Extraction Algorithm Feature Extraction Method Scatter Matrix 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Pawel Blaszczyk
    • 1
  • Katarzyna Stapor
    • 2
  1. 1.Institute of MathematicsUniversity of SilesiaPoland
  2. 2.Institute of Computer ScienceSilesian University of TechnologyPoland

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