Analysis of new techniques to obtain quality training sets
作者： José Salvador Sánchez , Ricardo Barandela , Ana I Marqués , Roberto Alejo , Jorge Badenas
DOI: 10.1016/S0167-8655(02)00225-8
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摘要: … Although the percentage reduction of training samples has not been included in this paper, it is to be mentioned that all editing procedures gave very similar results. Nevertheless, as is …
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Ricardo Barandela, Eduardo Gasca, Decontamination of Training Samples for Supervised Pattern Recognition Methods Lecture Notes in Computer Science. pp. 621- 630 ,(2000) , 10.1007/3-540-44522-6_64
Josef Kittler, Pierre A. Devijver, Pattern recognition : a statistical approach Prentice/Hall International. ,(1982)
Belur V. Dasarathy, Nearest neighbor (NN) norms: NN pattern classification techniques Los Alamitos: IEEE Computer Society Press. ,(1991)
Carla E. Brodley, Mark A. Friedl, Identifying mislabeled training data Journal of Artificial Intelligence Research. ,vol. 11, pp. 131- 167 ,(1999) , 10.1613/JAIR.606
T. Kohonen, The self-organizing map Proceedings of the IEEE. ,vol. 78, pp. 1464- 1480 ,(1990) , 10.1109/5.58325
J.S. Sánchez, F. Pla, F.J. Ferri, On the use of neighbourhood-based non-parametric classifiers Pattern Recognition Letters. ,vol. 18, pp. 1179- 1186 ,(1997) , 10.1016/S0167-8655(97)00112-8
J.S. Sánchez, F. Pla, F.J. Ferri, Prototype selection for the nearest neighbour rule through proximity graphs Pattern Recognition Letters. ,vol. 18, pp. 507- 513 ,(1997) , 10.1016/S0167-8655(97)00035-4
B.B. Chaudhuri, A new definition of neighborhood of a point in multi-dimensional space Pattern Recognition Letters. ,vol. 17, pp. 11- 17 ,(1996) , 10.1016/0167-8655(95)00093-3
Jack Koplowitz, Thomas A. Brown, ON THE RELATION OF PERFORMANCE TO EDITING IN NEAREST NEIGHBOR RULES Pattern Recognition. ,vol. 13, pp. 251- 255 ,(1981) , 10.1016/0031-3203(81)90102-3
Dennis L. Wilson, Asymptotic Properties of Nearest Neighbor Rules Using Edited Data systems man and cybernetics. ,vol. 2, pp. 408- 421 ,(1972) , 10.1109/TSMC.1972.4309137