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Object Selection Based on Subclass Error Correcting for ALVOT

  • Miguel Angel Medina-Pérez
  • Milton García-Borroto
  • José Ruiz-Shulcloper
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4756)

Abstract

ALVOT is a supervised classification model based on partial precedences. These classifiers work with databases having objects described simultaneously by numeric and nonnumeric features. In this paper a new object selection method based on the error per subclass is proposed for improving the accuracy, especially with noisy training matrixes. A comparative numerical experiment was performed with different methods of object selection. The experimental results show a good performance of the proposed method with respect to previously reported in the literature.

Keywords

Partial precedence mixed and incomplete data editing method 

References

  1. 1.
    Bezdek, J.C., Kuncheva, L.I.: Nearest Prototype classifiers designs: an experimental study. International Journal of Intelligent Systems 16, 1445–1473 (2001)zbMATHCrossRefGoogle Scholar
  2. 2.
    Martínez Trinidad, J.F., Guzmán-Arenas, A.: The logical combinatorial approach to Pattern Recognition, an overview through selected works. Pattern Recognition 34, 741–751 (2001)zbMATHCrossRefGoogle Scholar
  3. 3.
    Zhuravlev, Y.I., Nikiforov, V.V.: Recognition algorithms based on voting calculation. Journal Kibernetika 3, 1–11 (1971)Google Scholar
  4. 4.
    Ruiz-Shulcloper, J., Abidi, M.A.: Logical Combinatorial Pattern Recognition: A Review. In: Pandalai, S.G. (ed.) Recent Research Developments in Pattern Recognition. Transword Research Networks, USA, pp. 133–176 (2002)Google Scholar
  5. 5.
    Carrasco-Ochoa, J.A., Martínez-Trinidad, J.F.: Editing and Training for ALVOT, an Evolutionary Approach. In: Liu, J., Cheung, Y.-m., Yin, H. (eds.) IDEAL 2003. LNCS, vol. 2690, pp. 452–456. Springer, Heidelberg (2003)Google Scholar
  6. 6.
    Carrasco-Ochoa, J.A., Martínez-Trinidad, J.F.: Combining Evolutionary Techniques to Improve ALVOT Efficiency. WSEAS Transactions on Systems 2, 1073–1078 (2003)Google Scholar
  7. 7.
    Kuncheva, L.I., Bezdek, J.C.: Nearest prototype classification: clustering, genetic algorithms or random search. IEEE Transactions on Systems, Man and Cybernetics. Part C 28, 160–164 (1998)CrossRefGoogle Scholar
  8. 8.
    Decaestecker, C.: NNP: A neural net classifier using prototype. International Conference on Neural Networks, San Francisco, California, pp. 822–824 (1993)Google Scholar
  9. 9.
    König, A., Rashhofer, R.J., Glesner, M.: A novel method for the design of radial-basis-function networks and its implication for knowledge extraction. International Conference on Neural Networks, Orlando, Florida 1804–1809 (1994)Google Scholar
  10. 10.
    García-Borroto, M., Ruiz-Shulcloper, J.: Selecting Prototypes in Mixed Incomplete Data. In: Sanfeliu, A., Cortés, M.L. (eds.) CIARP 2005. LNCS, vol. 3773, pp. 450–459. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  11. 11.
    Medina-Perez, M.A., García-Borroto, M., Villuendas-Rey, Y., Ruiz-Shulcloper, J.: Selecting objects for ALVOT. In: Martínez-Trinidad, J.F., Carrasco Ochoa, J.A., Kittler, J. (eds.) CIARP 2006. LNCS, vol. 4225, pp. 606–613. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  12. 12.
    Merz, C.J., Murphy, P.M.: UCI Repository of Machine Learning Databases. University of California at Irvine, Department of Information and Computer Science, Irvine (1998)Google Scholar
  13. 13.
    Lazo-Cortés, M., Ruiz-Shulcloper, J.: Determining the feature informational weight for non-classical described objects and new algorithm to calculate fuzzy testors. Pattern Recognition Letters 16, 1259–1265 (1995)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Miguel Angel Medina-Pérez
    • 1
  • Milton García-Borroto
    • 2
  • José Ruiz-Shulcloper
    • 3
  1. 1.University of Ciego de ÁvilaCuba
  2. 2.Bioplants Center, UNICA, C. de ÁvilaCuba
  3. 3.Advanced Technologies Applications Center, MINBASCuba

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