Extensions of the k nearest neighbour methods for classification problems

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2008

Volumn , Issue , 2008, Pages 23-28

  Voulgaris, Zacharias ^a   Magoulas, George D ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Classification; Discernibility; KNN; Nearest neighbour classifier; Pattern recognition

Indexed keywords

CLASSIFICATION; DATA SETS; DISCERNIBILITY; K NEAREST NEIGHBOURS (K NN); K-NEAREST NEIGHBOUR METHODS; KNN; NEAREST NEIGHBOUR CLASSIFIER; NEAREST NEIGHBOURS; UCI REPOSITORIES;

ARTIFICIAL INTELLIGENCE; CLASSIFIERS; LEARNING SYSTEMS; PATTERN RECOGNITION;

APPLICATIONS;

EID: 52249117480     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Moreno-Seco, F., Mico, L. and Oncina, J. A Modification of the LAESA Algorithm for Approximated k-NN Classification. Pattern Recognition Letters 24 (2003), pp. 47-53
2. Abidin, T. and Perrizo, W. SMART-TV: A Fast and Scalable Nearest Neighbor Based Classifier for Data Mining. Proceedings of ACM SAC-06, Dijon, France, April 23-27, 2006. ACM Press, New York, NY, pp. 536-540
3. Khan, M., Ding, Q. and Perrizo, W. K-Nearest Neighbors Classification of Spatial Data Streams using P-trees. Proceedings of the PAKDD, 2002, pp. 517-528
4. Yu, K. and Ji, L. Karyotyping of Comparative Genomic Hybridization Human Metaphases Using Kernel Nearest-Neighbor Algorithm, Cytometry, 48, 202-208, 2002.
5. Sotoca J.M., Sanchez J.S., and Pla F, Estimating Feature Weights for Distance-Based Classification. Pattern Recognition in Information Systems PRIS2003, Angers (France), pp.156-166, Ed. ICEIS PRESS, ISBN: 972-98816-3-4, 2003
6. th International Conference on Pattern Recognition (ICPR 2006), 20-24 August 2006, Hong Kong, China: 502-505
7. Hendrickx, I. and Antal van den Bosch. Maximum-Entropy Parameter Estimation for the k-nn Modified Value-Difference Kernel. Proceedings of the 16th Belgian-Dutch Conference on Artificial Intelligence, Groningen, The Netherlands, 2004
8. Antal van den Bosch Feature Transformation Through Rule Induction: A Case Study with the k-NN Classifier. In J. Fürnkrantz (Ed.), Proceedings of the ECML/PKDD 2004 Workshop on Advances in Inductive Rule Learning, Pisa, Italy, September 2004, pp. 1-16
9. Domeniconi, C., and Yan, B. On Error Correlation and Accuracy of Nearest Neighbor Ensemble Classifiers. Proceedings of the SIAM International Conference on Data Mining, Newport Beach, California, April 21-23, 2005
10. Wang, H. and Bell, D. Extended k-Nearest Neighbours Based on Evidence Theory. The Computer Journal, Vol. 47 (6) Nov. 2004, pp. 662-672.
11. Aydin, T. and Guvenir, H. A. Modeling Interestingness of Streaming Classification Rules as a Classification Problem. Lecture Notes in Computer Science, Springer Berlin / Heidelberg, ISSN 1611-349 (Online), Volume 3949, 2006
12. UCI Machine Learning Repository, available on line at the University of California, Irvine http://www.ics.uci.edu/̃mlearn/MLSum mary.html