A note on genetic algorithms for large-scale feature selection
Pattern Recognition Letters
Feature selection in unsupervised learning via evolutionary search
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Hidden Markov Models for Speech Recognition
Hidden Markov Models for Speech Recognition
Feature Subset Selection and Order Identification for Unsupervised Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Segmentation and Recognition of Handwritten Dates
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Clustering of the self-organizing map
IEEE Transactions on Neural Networks
Information preserving multi-objective feature selection for unsupervised learning
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Multiobjective Optimization in Bioinformatics and Computational Biology
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Consensus unsupervised feature ranking from multiple views
Pattern Recognition Letters
Canonical subsets of image features
Computer Vision and Image Understanding
Multi-objective Feature Selection with NSGA II
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
A genetic algorithm with gene rearrangement for K-means clustering
Pattern Recognition
Unsupervised feature weighting with multi niche crowding genetic algorithms
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Clustering stability-based feature selection for unsupervised texture classification
Machine Graphics & Vision International Journal
Feature selection for genomic data sets through feature clustering
International Journal of Data Mining and Bioinformatics
Environment adaptive 3D object recognition and pose estimation by cognitive perception engine
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Combining evolutionary and sequential search strategies for unsupervised feature selection
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
A unifying criterion for unsupervised clustering and feature selection
Pattern Recognition
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Application of NSGA-II to feature selection for facial expression recognition
Computers and Electrical Engineering
Immune multiobjective optimization algorithm for unsupervised feature selection
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
Multi-objective genetic algorithms to create ensemble of classifiers
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Unsupervised fuzzy-rough set-based dimensionality reduction
Information Sciences: an International Journal
Computer Methods and Programs in Biomedicine
International Journal of Hybrid Intelligent Systems
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In this paper a methodology for feature selection in unsupervisedlearning is proposed. It makes use of a multi-objectivegenetic algorithm where the minimization of thenumber of features and a validity index that measures thequality of clusters have been used to guide the search towardsthe more discriminant features and the best numberof clusters. The proposed strategy is evaluated usingtwo synthetic data sets and then it is applied to handwrittenmonth word recognition. Comprehensive experimentsdemonstrate the feasibility and efficiency of the proposedmethodology.