Identifying core sets of discriminatory features using particle swarm optimization
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Summary
An original two-phase feature selection method that uses particle swarm optimization (PSO), a biologically inspired optimization technique, which forms an initial core set of discriminatory features from the original feature space, which is then successively expanded by searching for additional discriminatory features.
- Type
- article
- Published
- 2009-04-01
- Cited by
- 56
- References
- 36
- OpenAlex
- https://openalex.org/W2073604948
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1101569
Keywords
Feature selection, Particle swarm optimization, Computer science, Artificial intelligence, Pattern recognition (psychology)
References
- Analysis of a simple particle swarm optimization system
- Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)
- Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
- Fast feature selection with genetic algorithms: a filter approach
- Genetic algorithm based feature selection for target detection in SAR images
- Wrappers for Feature Subset Selection
- A GA-based feature selection and parameters optimizationfor support vector machines
- A novel feature selection approach: Combining feature wrappers and filters
- Genetic algorithms in classifier fusion
- Rough set feature selection and rule induction for prediction of malignancy degree in brain glioma
- A wrapper-based approach to image segmentation and classification
- Feature selection for modular GA-based classification
- Hybrid Genetic Algorithms for Feature Selection
- Framework for efficient feature selection in genetic algorithm based data mining
- Reducing multiclass to binary: a unifying approach for margin classifiers
- Accurate and reliable diagnosis and classification using probabilistic ensemble simplified fuzzy ARTMAP
- Particle swarm optimization
- A particle swarm optimization approach for optimum design of PID controller in AVR system
- Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization
- Dimensionality reduction using genetic algorithms
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- Forecasting exchange rate using EMD and BPNN optimized by particle swarm optimization
- Prediction of Mine Gas Emission Rate using Support Vector Regression and Chaotic Particle Swarm Optimization Algorithm
- A bumble bees mating optimization algorithm for the feature selection problem
- Traffic safety forecasting method by particle swarm optimization and support vector machine
- A hybrid-forecasting model reducing Gaussian noise based on the Gaussian support vector regression machine and chaotic particle swarm optimization
- Particle swarm optimization-based support vector machine for forecasting dissolved gases content in power transformer oil
- A public health decision support system framework using approximate reasoning methods
- Fault Diagnosis of Plunger Pump in Truck Crane Based on Relevance Vector Machine with Particle Swarm Optimization Algorithm
- An improved hybrid particle swarm optimization algorithm for fuzzy p-hub center problem
- Diagnostic study on arrhythmia cordis based on particle swarm optimization-based support vector machine
- Velocity-based reinitialisation approach in Particle Swarm Optimisation for feature selection
- Optimization of the Initial Steam Pressure for Supercritical Unit Based on ANN and PSO Algorithms
- Toward a Hybrid Approach of Primitive Cognitive Network Process and Particle Swarm Optimization Neural Network for Forecasting
- A Conjunction Method of Wavelet Transform-Particle Swarm Optimization-Support Vector Machine for Streamflow Forecasting
- Discrete Artificial Bee Colony Optimization Algorithm for Financial Classification Problems
- Predatory Search Strategy Based on Swarm Intelligence for Continuous Optimization Problems
- An improved scheme for minimum cross entropy threshold selection based on genetic algorithm
- Target classification in Wireless Sensor Network using Particle Swarm Optimization (PSO)
- Complex system fault diagnosis based on a fuzzy robust wavelet support vector classifier and an adaptive Gaussian particle swarm optimization
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