A Supervised Biclustering Optimization Model for Feature Selection in Biomedical Dataset Classification.
Saziye Deniz Oguz ArikanCem IyigunPublished in: DMBD (2016)
Keyphrases
- feature selection
- optimization model
- feature set
- classification accuracy
- microarray data
- text classification
- machine learning
- unsupervised learning
- support vector
- classification models
- gene expression data
- fold cross validation
- feature extraction
- microarray datasets
- supervised learning
- classification algorithm
- unsupervised feature selection
- decision trees
- support vector machine
- irrelevant features
- feature selection algorithms
- feature selection and classification
- text categorization
- discriminative features
- benchmark datasets
- supervised classification
- selected features
- high dimensionality
- construction project
- feature subset
- learning algorithm
- optimization process
- training dataset
- text mining
- feature vectors
- classification performances
- naive bayes
- model selection
- multi class
- image classification
- data sets
- microarray data analysis
- supervised and unsupervised learning
- supervised feature selection
- gene sets
- dimensionality reduction
- multi objective
- evolutionary algorithm
- training set
- neural network