Optimizing multimodal feature selection using binary reinforced cuckoo search algorithm for improved classification performance.
Kalaipriyan ThirugnanasambandamJayalakshmi MuruganRajakumar RamalingamMamoon RashidR. S. RaghavTai-Hoon KimGabriel Avelino R. SampedroMideth B. AbisadoPublished in: PeerJ Comput. Sci. (2024)
Keyphrases
- feature selection
- search algorithm
- classification accuracy
- support vector
- machine learning
- support vector machine
- text classification
- feature space
- pattern recognition
- classification models
- high dimensionality
- discriminative features
- text categorization
- feature set
- feature extraction
- mutual information
- feature selection algorithms
- accurate classification
- supervised learning
- feature selection and classification
- irrelevant features
- classification method
- classification algorithm
- feature subset selection
- preprocessing
- dimensionality reduction
- feature vectors
- bayesian classifier
- bayes classifier
- feature reduction
- method for feature selection
- svm classifier
- feature subset
- dimension reduction
- decision trees
- data sets
- model selection
- multi modal
- multi class
- search space
- select relevant features
- training data
- classification performances
- error correcting output codes
- redundant features
- data pre processing
- unsupervised feature selection
- training set
- feature ranking
- training samples
- binary classifiers
- selected features
- selection algorithm