On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Instance-Based Learning Algorithms
Machine Learning
Editing for the k-nearest neighbors rule by a genetic algorithm
Pattern Recognition Letters - Special issue on genetic algorithms
Recursive Automatic Bias Selection for Classifier Construction
Machine Learning - Special issue on bias evaluation and selection
Prototype selection for the nearest neighbour rule through proximity graphs
Pattern Recognition Letters
Nearest neighbor classifier: simultaneous editing and feature selection
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Reduction Techniques for Instance-BasedLearning Algorithms
Machine Learning
Rough set algorithms in classification problem
Rough set methods and applications
Advances in Instance Selection for Instance-Based Learning Algorithms
Data Mining and Knowledge Discovery
A comparative study of fuzzy rough sets
Fuzzy Sets and Systems
Rough set methods in feature selection and recognition
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Prototype selection for dissimilarity-based classifiers
Pattern Recognition
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
Information Sciences: an International Journal
Learning fuzzy rules from fuzzy samples based on rough set technique
Information Sciences: an International Journal
A Novel Approach of Rough Set-Based Attribute Reduction Using Fuzzy Discernibility Matrix
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03
Fast Nearest Neighbor Condensation for Large Data Sets Classification
IEEE Transactions on Knowledge and Data Engineering
Dominance-based rough set approach and knowledge reductions in incomplete ordered information system
Information Sciences: an International Journal
Fuzzy rough set theory for the interval-valued fuzzy information systems
Information Sciences: an International Journal
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Pattern Recognition
On fuzzy approximation operators in attribute reduction with fuzzy rough sets
Information Sciences: an International Journal
Hit Miss Networks with Applications to Instance Selection
The Journal of Machine Learning Research
Attribute Reduction Based on Fuzzy Rough Sets
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Attribute selection with fuzzy decision reducts
Information Sciences: an International Journal
New approaches to fuzzy-rough feature selection
IEEE Transactions on Fuzzy Systems
Class Conditional Nearest Neighbor for Large Margin Instance Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Sciences: an International Journal
International Journal of Approximate Reasoning
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
Extended rough set-based attribute reduction in inconsistent incomplete decision systems
Information Sciences: an International Journal
Fuzzy-Rough Sets Assisted Attribute Selection
IEEE Transactions on Fuzzy Systems
Attributes Reduction Using Fuzzy Rough Sets
IEEE Transactions on Fuzzy Systems
An efficient rough feature selection algorithm with a multi-granulation view
International Journal of Approximate Reasoning
Nearest neighbor pattern classification
IEEE Transactions on Information Theory
The condensed nearest neighbor rule (Corresp.)
IEEE Transactions on Information Theory
The reduced nearest neighbor rule (Corresp.)
IEEE Transactions on Information Theory
Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets
Information Sciences: an International Journal
Attribute reduction of data with error ranges and test costs
Information Sciences: an International Journal
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The k Nearest Neighbour (k NN) method is a widely used classification method that has proven to be very effective. The accuracy of k NN can be improved by means of Prototype Selection (PS), that is, we provide k NN with a reduced but reinforced dataset to pick its neighbours from. We use fuzzy rough set theory to express the quality of the instances, and use a wrapper approach to determine which instances to prune. We call this method Fuzzy Rough Prototype Selection (FRPS) and evaluate its effectiveness on a variety of datasets. A comparison of FRPS with state-of-the-art PS methods confirms that our method performs very well with respect to accuracy.