Abstract
The purpose of this study is to explore an alternative means of hand image classification, one that requires minimal human intervention. The main tool for accomplishing this is a Genetic Algorithm (GA). This study is more than just another GA application; it introduces (a) a novel cooperative coevolutionary clustering algorithm with dynamic clustering and feature selection; (b) an extended fitness function, which is particularly suited to an integrated dynamic clustering space. Despite its complexity, the results of this study are clear: the GA evolved an average clustering of 4 clusters, with minimal overlap between them.
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References
Fogel, D.B.: Evolutionary Computation: Toward A New Philosophy Of Machine Intelligence. IEEE Press, New York, (1995) 5
Haupt, R.L. and Haupt, S.E.: Practical Genetic Algorithms. Wiley Interscience, New York (1998)
Lee, C.-Y.: Efficient Automatic Engineering Design Synthesis Via Evolutionary Exploration. PhD thesis (2002), California Institute of Technology, Pasadena, California
Maulik, U., Bandyopadhyay S.: Genetic Algorithm-based Clustering Technique. Pattern Recognition 33 (2000) 1455–1465
Oh, I.-S., Lee, J.-S. and Moon, B.-R.: Local Search-embedded Genetic Algorithms For Feature Selection. Proc. of International Conf. on Pattern Recognition (2002) 148–151
Paredis, J.: Coevolutionary Computation. Artificial Life 2 (1995) 355–375
Pena-Reyes, C.A., Sipper M.: Fuzzy CoCo: A Cooperative-Coevolutionary Approach To Fuzzy Modeling. IEEE Transaction on Fuzzy Systems Vol. 9, No.5 (October 2001) 727–737
Raymer, M.L., Punch, W.F., Goodman, E.D., Kuhn, L.A. and Jain, A.K.: Dimensionality Reduction Using Genetic Algorithms. IEEE Transaction on Evolutionary Computation, Vol. 4, No.2 (July 2000) 164–171
Tseng, L.Y., Yang, S.B.: A Genetic Approach To The Automatic Clustering Problem. Pattern Recognition 34 (2001) 415–424
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Kharma, N., Suen, C.Y., Guo, P.F. (2003). PalmPrints: A Novel Co-evolutionary Algorithm for Clustering Finger Images. In: Cantú-Paz, E., et al. Genetic and Evolutionary Computation — GECCO 2003. GECCO 2003. Lecture Notes in Computer Science, vol 2723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45105-6_38
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DOI: https://doi.org/10.1007/3-540-45105-6_38
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