A memetic algorithm for evolutionary prototype selection: A scaling up approach
- 1 August 2008
- journal article
- Published by Elsevier in Pattern Recognition
- Vol. 41 (8) , 2693-2709
Abstract
No abstract availableKeywords
Funding Information
- Ministerio de Educación, Cultura y Deporte
This publication has 27 references indexed in Scilit:
- On using prototype reduction schemes to optimize dissimilarity-based classificationPattern Recognition, 2007
- A cooperative constructive method for neural networks for pattern recognitionPattern Recognition, 2007
- Experimental study on prototype optimisation algorithms for prototype-based classification in vector spacesPattern Recognition, 2006
- Some approaches to improve tree-based nearest neighbour search algorithmsPattern Recognition, 2006
- Prototype selection for dissimilarity-based classifiersPattern Recognition, 2006
- Learning prototypes and distances: A prototype reduction technique based on nearest neighbor error minimizationPattern Recognition, 2006
- Stratification for scaling up evolutionary prototype selectionPattern Recognition Letters, 2005
- Real-Coded Memetic Algorithms with Crossover Hill-ClimbingEvolutionary Computation, 2004
- Finding representative patterns with ordered projectionsPattern Recognition, 2003
- The reduced nearest neighbor rule (Corresp.)IEEE Transactions on Information Theory, 1972