Instance-Based Learning Algorithms
Machine Learning
A practical approach to feature selection
ML92 Proceedings of the ninth international workshop on Machine learning
Estimating attributes: analysis and extensions of RELIEF
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
Artificial Intelligence Review - Special issue on lazy learning
Data preparation for data mining
Data preparation for data mining
Reduction Techniques for Instance-BasedLearning Algorithms
Machine Learning
Machine Learning
Feature Extraction, Construction and Selection: A Data Mining Perspective
Feature Extraction, Construction and Selection: A Data Mining Perspective
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Journal of Global Optimization
Analysis of new techniques to obtain quality training sets
Pattern Recognition Letters - Special issue: Sibgrapi 2001
Theoretical and Empirical Analysis of ReliefF and RReliefF
Machine Learning
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Evolutionary Design of Nearest Prototype Classifiers
Journal of Heuristics
Stratification for scaling up evolutionary prototype selection
Pattern Recognition Letters
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Learning Weighted Metrics to Minimize Nearest-Neighbor Classification Error
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
Pattern Recognition Letters
Self-generating prototypes for pattern classification
Pattern Recognition
Bioinformatics
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Pattern Recognition
Particle swarm optimization for prototype reduction
Neurocomputing
Machine Learning and Data Mining: Introduction to Principles and Algorithms
Machine Learning and Data Mining: Introduction to Principles and Algorithms
The Top Ten Algorithms in Data Mining
The Top Ten Algorithms in Data Mining
Differential evolution algorithm with strategy adaptation for global numerical optimization
IEEE Transactions on Evolutionary Computation
Differential evolution using a neighborhood-based mutation operator
IEEE Transactions on Evolutionary Computation
AMPSO: a new particle swarm method for nearest neighborhood classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
JADE: adaptive differential evolution with optional external archive
IEEE Transactions on Evolutionary Computation
Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach
Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach
Introduction to Machine Learning
Introduction to Machine Learning
Information Sciences: an International Journal
Edited AdaBoost by weighted kNN
Neurocomputing
IPADE: iterative prototype adjustment for nearest neighbor classification
IEEE Transactions on Neural Networks
Prototype reduction techniques: A comparison among different approaches
Expert Systems with Applications: An International Journal
Enhancing IPADE algorithm with a different individual codification
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Information Sciences: an International Journal
Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study
IEEE Transactions on Evolutionary Computation
A tutorial for competent memetic algorithms: model, taxonomy, and design issues
IEEE Transactions on Evolutionary Computation
Differential Evolution: A Survey of the State-of-the-Art
IEEE Transactions on Evolutionary Computation
Nearest neighbor pattern classification
IEEE Transactions on Information Theory
The condensed nearest neighbor rule (Corresp.)
IEEE Transactions on Information Theory
Local Feature Weighting in Nearest Prototype Classification
IEEE Transactions on Neural Networks
A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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Prototype generation techniques have arisen as very competitive methods for enhancing the nearest neighbor classifier through data reduction. Within the prototype generation methodology, the methods of adjusting the prototypes' positioning have shown an outstanding performance. Evolutionary algorithms have been used to optimize the positioning of the prototypes with promising results. However, these results can be improved even more if other data reduction techniques, such as prototype selection and feature weighting, are considered. In this paper, we propose a hybrid evolutionary scheme for data reduction, incorporating a new feature weighting scheme within two different prototype generation methodologies. Specifically, we will focus on a self-adaptive differential evolution algorithm in order to optimize feature weights and the placement of the prototypes. The results are contrasted with nonparametric statistical tests, showing that our proposal outperforms previously proposed methods, thus showing itself to be a suitable tool in the task of enhancing the performance of the nearest neighbor classifier.