A threshold fuzzy entropy based feature selection for medical database classification.
Jaganathan PalanichamyKuppuchamy RamasamyPublished in: Comput. Biol. Medicine (2013)
Keyphrases
- feature selection
- database
- classification accuracy
- classification models
- machine learning
- databases
- image classification
- decision trees
- feature extraction
- feature space
- text classification
- feature set
- support vector
- pattern recognition
- fuzzy logic
- high dimensionality
- model selection
- fuzzy sets
- support vector machine
- discriminative features
- supervised learning
- class separability
- feature subset
- relational databases
- fuzzy classifier
- fuzzy classification
- membership functions
- mutual information
- classification algorithm
- classification performances
- rule extraction
- feature selection algorithms
- irrelevant features
- support vector machine svm
- fuzzy clustering
- classification method
- database systems
- training set
- feature selection and classification
- roc curve
- neural network
- medical databases
- learning algorithm
- feature reduction
- feature vectors
- accurate classification
- medical experts
- microarray datasets
- small sample
- feature ranking
- class labels