Combining multiple k-nearest neighbor classifiers using different distance functions

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3177, Issue , 2004, Pages 634-641

  Bao, Yongguang ^a   Ishii, Naohiro ^b   Du, Xiaoyong ^c  

^a Aichi Information System   (Japan)

^b AICHI INSTITUTE OF TECHNOLOGY   (Japan)

^c RENMIN UNIVERSITY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33750367353     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28651-6_93     Document Type: Article

References (11)

1. S.D. Bay, "Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets", Intelligent Data Analysis, 3(3), pp. 191-209, 1999.
2. Y.Bao,X.Du & N.Ishii, "Combining Feature Selection with Feature Weighting for k-NN Classifier", Proc.Third International Conference on Intelligent Data Engineering and Automated Learning(LNCS2412,Springer-Verlag), August.Manchester,UK,pp.461-468,2002.
3. Y.Bao & N.Ishii, "Combining multiple k-Nearest Neighbor Classifiers for Text Classification by Reducts", Proc.5th International Conference on Discovery Science(LNAI2534,Springer-Verlag),Germany,pp.361-368, November,2002.
4. T.M. Cover & P.E. Hart,"Nearest Neighbor Pattern classification", IEEE Transactions on Information Theory, Vol. 13, No.1, pp. 21-27, 1967.
5. Itqon, S. Kaneko & S. Igarashi, "Combining Multiple k-Nearest Neighbor Classifiers Using Feature Combinations", Journal IECI, 2(3), pp. 23-319, 2000.
6. C. J. Merz & P. M. Murphy, 1998, UCI Repository of Machine Learning Databases, Irvine, CA: University of California Irvine, Department of Information and Computer Science, Internet:http://www.ics.uci.edu/mlearn/ MLRepository.html.
7. C. Stanfill & Waltz D.,"Toward memory-based reasoning", Communications of the ACM, Vol. 29, pp. 1213-1228, 1986.
8. Tapia, Richard A. & James R. Thompson, Nonparametric Probability Density Estimation. Baltimore, MD: The Johns Hopkins University Press, 1978.
9. Wilson, D. Randall, & Tony R. Martinez, "Improved Heterogeneous Distance Functions", Journal of Artificial Intelligence Research, Vol. 6, No. 1, pp. 1-34, 1997.
10. D.R.Wilson & T.R. Martinez, "An Integrated Instance-Based Learning Algorithm", Computational Intelligence, 16(1), pp. 1-28, 2000.
11. D.R.Wilson & T.R. Martinez, "Reduction Techniques for Instance-Based Learning Algorithms", Machine Learning, 38(3), pp. 257-28, 2000.