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Volumn 4881 LNCS, Issue , 2007, Pages 1141-1150

Using a genetic algorithm for editing k-nearest neighbor classifiers

Author keywords

[No Author keywords available]

Indexed keywords

BIT ERROR RATE; CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS; MEAN SQUARE ERROR; PATTERN MATCHING;

EID: 38449116949     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77226-2_114     Document Type: Conference Paper
Times cited : (13)

References (10)
  • 1
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    • Asymptotic properties of nearest neighbor rules using edited datasets
    • Wilson, D.L.: Asymptotic properties of nearest neighbor rules using edited datasets. IEEE Transactions on Systems, Man and Cybernetics 2, 408-421 (1972)
    • (1972) IEEE Transactions on Systems, Man and Cybernetics , vol.2 , pp. 408-421
    • Wilson, D.L.1
  • 2
    • 25144505553 scopus 로고    scopus 로고
    • Mollineda, R.A., Sánchez, J.S., Sotoca, J.M.: Data characterization for effective prototype selection. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds.) IbPRIA 2005. LNCS, 3523, pp. 27-34. Springer, Heidelberg (2005)
    • Mollineda, R.A., Sánchez, J.S., Sotoca, J.M.: Data characterization for effective prototype selection. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds.) IbPRIA 2005. LNCS, vol. 3523, pp. 27-34. Springer, Heidelberg (2005)
  • 3
    • 0031168619 scopus 로고    scopus 로고
    • Fitness functions in editing k-NN reference set by genetic algorithms
    • Kuncheva, L.I.: Fitness functions in editing k-NN reference set by genetic algorithms. Pattern Recognition 30(6), 1041-1049 (1997)
    • (1997) Pattern Recognition , vol.30 , Issue.6 , pp. 1041-1049
    • Kuncheva, L.I.1
  • 4
    • 0036832996 scopus 로고    scopus 로고
    • Design of an optimal nearest neigbor classifier using an intelligent genetic algorithm
    • Ho, S.Y., Liu, C.C., Liu, S.: Design of an optimal nearest neigbor classifier using an intelligent genetic algorithm. Pattern Recognition Letters 23, 1495-1503 (2002)
    • (2002) Pattern Recognition Letters , vol.23 , pp. 1495-1503
    • Ho, S.Y.1    Liu, C.C.2    Liu, S.3
  • 5
    • 0035359888 scopus 로고    scopus 로고
    • Cerverón, V., Ferri, F.J.: Another move toward the minimum subset: a tabu search approach to the condensed nearest neighbor rule. IEEE Transactions on System, Man, and Cybernetics-Part B: Cybernetics 31(3), 408-413 (2001)
    • Cerverón, V., Ferri, F.J.: Another move toward the minimum subset: a tabu search approach to the condensed nearest neighbor rule. IEEE Transactions on System, Man, and Cybernetics-Part B: Cybernetics 31(3), 408-413 (2001)
  • 6
    • 22944450025 scopus 로고    scopus 로고
    • Chen, J.-H., Chen, H.-M., Ho, S.-Y: Design of Nearest Neighbor Classifiers Using an Intelligent Multi-objective Evolutionary Algorithm. In: Zhang, C., W. Guesgen, H., Yeap, W.-K. (eds.) PRICAI 2004. LNCS (LNAI), 3157, pp. 262-271. Springer, Heidelberg (2004)
    • Chen, J.-H., Chen, H.-M., Ho, S.-Y: Design of Nearest Neighbor Classifiers Using an Intelligent Multi-objective Evolutionary Algorithm. In: Zhang, C., W. Guesgen, H., Yeap, W.-K. (eds.) PRICAI 2004. LNCS (LNAI), vol. 3157, pp. 262-271. Springer, Heidelberg (2004)
  • 8
    • 0001138328 scopus 로고
    • Algorithm AS 163: A k-means clustering algorithm
    • Hartigan, J.A., Wong, M.A.: Algorithm AS 163: A k-means clustering algorithm. Applied Statistics 28(1), 100-108 (1979)
    • (1979) Applied Statistics , vol.28 , Issue.1 , pp. 100-108
    • Hartigan, J.A.1    Wong, M.A.2
  • 9
    • 0031143030 scopus 로고    scopus 로고
    • A new evolutionary system for evolving artificial neural networks
    • Yao, X., Liu, Y.: A new evolutionary system for evolving artificial neural networks. IEEE Transactions on Neural Networks 8(3), 694-713 (1997)
    • (1997) IEEE Transactions on Neural Networks , vol.8 , Issue.3 , pp. 694-713
    • Yao, X.1    Liu, Y.2
  • 10
    • 0042525838 scopus 로고    scopus 로고
    • A constructive algorithm for training cooperative neural network ensembles
    • Islam, M.M., Yao, X., Murase, K.: A constructive algorithm for training cooperative neural network ensembles. IEEE Trainsactions on Neural Networks 14(4), 820-834 (2003)
    • (2003) IEEE Trainsactions on Neural Networks , vol.14 , Issue.4 , pp. 820-834
    • Islam, M.M.1    Yao, X.2    Murase, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.