Discovering Useful Concept Prototypes for Classification Based on Filtering and Abstraction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Design of an optimal nearest neighbor classifier using an intelligent genetic algorithm
Pattern Recognition Letters
A Soft Computing Approach for Toxicity Prediction
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
Some Notes on Twenty One (21) Nearest Prototype Classifiers
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Optimizing Kernel-Based Nonlinear Subspace Methods Using Prototype Reduction Schemes
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Parallel Random Search and Tabu Search for the Minimal Consistent Subset Selection Problem
RANDOM '98 Proceedings of the Second International Workshop on Randomization and Approximation Techniques in Computer Science
Data mining tasks and methods: Classification: nearest-neighbor approaches
Handbook of data mining and knowledge discovery
Pattern Recognition Letters
Evolutionary Design of Nearest Prototype Classifiers
Journal of Heuristics
IEEE Transactions on Pattern Analysis and Machine Intelligence
A feature selection technique for classificatory analysis
Pattern Recognition Letters
Prototype reduction schemes applicable for non-stationary data sets
Pattern Recognition
Unsupervised fuzzy learning and cluster seeking
Intelligent Data Analysis
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Pattern Recognition
To combine steady-state genetic algorithm and ensemble learning for data clustering
Pattern Recognition Letters
Prototypes Based Relational Learning
AIMSA '08 Proceedings of the 13th international conference on Artificial Intelligence: Methodology, Systems, and Applications
Prototype selection based on sequential search
Intelligent Data Analysis
Evolutionary undersampling for classification with imbalanced datasets: Proposals and taxonomy
Evolutionary Computation
Nearest prototype classification of noisy data
Artificial Intelligence Review
Design of nearest neighbor classifiers: multi-objective approach
International Journal of Approximate Reasoning
A divide-and-conquer approach to the pairwise opposite class-nearest neighbor (POC-NN) algorithm
Pattern Recognition Letters
Regularized margin-based conditional log-likelihood loss for prototype learning
Pattern Recognition
Object selection based on subclass error correcting for ALVOT
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
A fast multi-output RBF neural network construction method
Neurocomputing
A review of instance selection methods
Artificial Intelligence Review
Sequential reduction algorithm for nearest neighbor rule
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part II
Applying electromagnetism-like mechanism for feature selection
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A review: accuracy optimization in clustering ensembles using genetic algorithms
Artificial Intelligence Review
Combining GAs and RBF neural networks for fuzzy rule extraction from numerical data
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Instance-based classifiers applied to medical databases: Diagnosis and knowledge extraction
Artificial Intelligence in Medicine
Distributed learning with data reduction
Transactions on computational collective intelligence IV
International Journal of Applied Mathematics and Computer Science - Semantic Knowledge Engineering
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Selecting prototypes in mixed incomplete data
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Support vector based prototype selection method for nearest neighbor rules
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Grouping genetic algorithm for data clustering
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
Selecting representative prototypes for prediction the oxygen activity in electric arc furnace
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Cellular automata based nearest neighbour rule condensation
International Journal of Computer Applications in Technology
Representative prototype sets for data characterization and classification
ANNPR'12 Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition
Fuzzy genetic sharing for dynamic optimization
International Journal of Automation and Computing
Genetic algorithm and pure random search for exosensor distribution optimisation
International Journal of Bio-Inspired Computation
Semantic Clustering of Web Documents: An Ontology based Approach Using Swarm Intelligence
International Journal of Information Technology and Web Engineering
Evolutionary computation for supervised learning
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
A hybrid approach using pso and K-means for semantic clustering of web documents
Journal of Web Engineering
A Fast Multiclass Classification Algorithm Based on Cooperative Clustering
Neural Processing Letters
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Three questions related to the nearest prototype classifier (NPC) are addressed: when is it better to construct the prototypes instead of selecting them as a subset of the given labeled data; how can we trade classification accuracy for a reduction in the number of prototypes; and how good is pure random search (RS) for selection of prototypes from the data? We compare the resubstitution performance of the NPC on the IRIS data set, where the prototypes are either extracted by replacement (R-prototypes) or by selection (S-prototypes). Results for the R-prototypes are taken from a previous study and are contrasted with S-prototype results obtained by a genetic algorithm (GA) or by RS. The best results reached by both algorithms (GA and RS), followed by resubstitution NPC, are two errors with sets of three S-prototypes. This compares favorably to the best result found with R-prototypes, viz., three errors with five R-prototypes. Based on our results, we recommend GA selection for the NPC. A by-product of this research is a counter example to minimality of a recently published minimal consistent set selection procedure