K-nearest neighbours based on mutual information for incomplete data classification

ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning

Volumn , Issue , 2008, Pages 37-42

  García Laencina, Pedro J ^a   Sancho Gómez, José Luis ^a   Figueiras Vidal, Anibal R ^b   Verleysen, Michel ^c  

^a TECHNICAL UNIVERSITY OF CARTAGENA   (Spain)

^b UNIVERSIDAD CARLOS III DE MADRID   (Spain)

^c UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION TASKS; INCOMPLETE DATA; INPUT DATAS; K NEAREST NEIGHBOURS (K-NN); K-NEAREST NEIGHBOURS; MACHINE LEARNING TECHNIQUES; MUTUAL INFORMATIONS; NUMERICAL RESULTS;

NEURAL NETWORKS; NUMERICAL METHODS;

LEARNING SYSTEMS;

EID: 77955289531     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. R. J. A. Little and D. B. Rubin. Statistical Analysis with Missing Data. John Wiley & Sons, New Jersey, USA, 2nd edition, 2002.
2. O. Troyanskaya, M. Cantor, O. Alter, G. Sherlock, P. Brown, D. Botstein, R. Tibshirani, T. Hastie, and R. Altman. Missing value estimation methods for DNA microarrays. Bioinformatics, 17(6):520-525, 2001.
3. G. E. Batista and M. C. Monard. An analysis of four missing data treatment methods for supervised learning. Appl. Artif. Intell., 17(5-6):519-533, 2003.
4. N. Kwak and C.-H. Choi. Input feature selection by mutual information based on parzen window. IEEE Trans. Pattern. Anal. Mach. Intell., 24(12):1667-1671, 2002.
5. F. Rossi, A. Lendasse, D. Francois, V. Wertz, and M. Verleysen. Mutual information for the selection of relevant variables in spectrometric nonlinear modelling. Chemometr. Intell. Lab. Syst., 80:215-226, 2006.
6. T. Denoux. A k-nearest neighbor classification rule based on dempster-shafer theory. IEEE Trans. Syst. Man. Cybern. C Appl Rev, 25(5):804-813, 1995.