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Forced Strategy Differential Evolution Used for Data Clustering

  • Meera RamadasEmail author
  • Ajith Abraham
Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 152)

Abstract

This chapter introduces another approach of Differential Evolution algorithm named as FSDE—Forced Strategy Differential Evolution. FSDE uses two control parameters: a constant parameter and a varying parameter. By using two control parameters, the efficiency of FSDE improves greatly. This variant is then applied on clustering of data.

References

  1. 1.
    Jain, A.K.: Data clustering: 50 years beyond K-means. Pattern Recogn. Lett. 31(8), 651–666 (2010)CrossRefGoogle Scholar
  2. 2.
    Bezdek J.C., Ehrlich R., Full W.:FCM: the fuzzy c-means clustering algorithm. Comput. Geosci. 10(2–3), 191–203 (1984)CrossRefGoogle Scholar
  3. 3.
    MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, no. 14. pp. 281–297 (1967)Google Scholar
  4. 4.
    Coello, C.A.C., David, A.V.V., Gary, B.L.: Evolutionary algorithms for solving multi-objective problems, vol. 242. Kluwer Academic, New York (2002)CrossRefGoogle Scholar
  5. 5.
    Storn, R., Price, K.: Differential evolution—a simple and efficient heuristic for global optimization over continuous spaces. J. Global Optim. 11(4), 341–359 (1997)MathSciNetCrossRefGoogle Scholar
  6. 6.
    Davies, D.L., Bouldin, D.W.: A cluster separation measure. IEEE Trans. Pattern Anal. Mach. Intell. 2, 224–227 (1979)CrossRefGoogle Scholar
  7. 7.
    Caliński, T., Harabasz, J.: A dendrite method for cluster analysis. Commun. Stat. Theor. Meth. 3(1), 1–27 (1974)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Information TechnologyUniversity College of BahrainManamaBahrain
  2. 2.Scientific Network for Innovation and Research ExcellenceMachine Intelligence Research Labs (MIR Labs)AuburnUSA

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