Particle swarm optimization based feature selection in mammogram mass classification.
Man To WongXiangjian HeHung T. NguyenWei-Chang YehPublished in: ICCH (2012)
Keyphrases
- feature selection
- particle swarm optimization
- classification accuracy
- support vector
- digitized mammograms
- classification models
- feature extraction
- feature set
- support vector machine
- text categorization
- text classification
- machine learning
- irrelevant features
- feature space
- discriminative features
- feature selection algorithms
- wrapper feature selection
- particle swarm optimization algorithm
- high dimensionality
- support vector machine svm
- model selection
- classification algorithm
- decision trees
- feature selection and classification
- accurate classification
- small sample
- image classification
- feature subset
- naive bayes
- pattern recognition
- digital mammography
- classification method
- digital mammograms
- data pre processing
- selected features
- multi class
- bayesian classifier
- pso algorithm
- microarray data
- multi objective
- informative features
- feature weighting
- classification performances
- ensemble classifier
- gene selection
- method for feature selection
- support vector classification
- classification rate
- unsupervised learning