Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces
- 6 June 2006
- journal article
- Published by Elsevier in Pattern Recognition
- Vol. 39 (10) , 1827-1838
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Prototype selection for dissimilarity-based classifiersPattern Recognition, 2006
- Dissimilarity-based classification of spectra: computational issuesReal-Time Imaging, 2003
- Dissimilarity representations allow for building good classifiersPattern Recognition Letters, 2002
- On the use of neighbourhood-based non-parametric classifiersPattern Recognition Letters, 1997
- A sample set condensation algorithm for the class sensitive artificial neural networkPattern Recognition Letters, 1996
- A new definition of neighborhood of a point in multi-dimensional spacePattern Recognition Letters, 1996
- Divergence based feature selection for multimodal class densitiesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1996
- Minimal consistent set (MCS) identification for optimal nearest neighbor decision systems designIEEE Transactions on Systems, Man, and Cybernetics, 1994
- Instance-based learning algorithmsMachine Learning, 1991
- Nearest neighbor pattern classificationIEEE Transactions on Information Theory, 1967