Loading...

Combination of harmony search and linear discriminate analysis to improve classification

Moeinzadeh, H ; Sharif University of Technology | 2009

376 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/AMS.2009.125
  3. Publisher: 2009
  4. Abstract:
  5. An appropriate pre-processing algorithm in classification is not only of great importance with respect to classifier choice, but also would be more crucial. In this paper, a pre-processing step is proposed in order to increase accuracy of classification. The aim of this approach is finding a transformation matrix causes classes to be more discriminable by transforming data into the new space and consequently, increases the classification accuracy. This transformation matrix is computed through two methods based on linear discrimination. In the first method, we use class independent LDA to increase classification accuracy by finding a transformation that maximizes the between-class scatter and minimizes within-class scatter using a transformation matrix. Because LDA cannot obtain optimal transformation, in the second method, Harmony Search is used to increase performance of LDA. Obtained results show that utilization of these pre-processing causes increasing the accuracy of different classifiers. © 2009 IEEE
  6. Keywords:
  7. Classification ; Harmony search ; Linear discriminant analysis ; Linear discrimination ; Optimal transformation ; Pre-processing ; Pre-processing algorithms ; Pre-processing step ; Transformation matrices ; Agricultural products ; Classifiers ; Learning systems ; Matrix algebra
  8. Source: 2009 3rd Asia International Conference on Modelling and Simulation, AMS 2009, Bandung, Bali, 25 May 2009 through 26 May 2009 ; 2009 , Pages 131-135 ; 9780769536484 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/5071971