Optimizing Parkinson's Disease Classification and Severity Assessment Using Dense Multiscale Sample Entropy and Hybrid Feature Selection.
Quoc Duy Nam NguyenThi Hong TranTadashi NakanoPublished in: ICIT (2023)
Keyphrases
- feature selection
- multiscale
- classification accuracy
- text classification
- small sample
- support vector
- support vector machine
- feature extraction
- mutual information
- high dimensionality
- irrelevant features
- classification models
- feature space
- feature vectors
- classification algorithm
- feature selection algorithms
- model selection
- feature set
- accurate classification
- machine learning
- decision trees
- support vector machine svm
- edge detection
- pattern recognition
- feature selection and classification
- high dimensional
- information gain
- method for feature selection
- discriminative features
- classification performances
- information theoretic
- cross validation
- svm classifier
- supervised learning
- image segmentation
- information theory
- classification method
- selected features
- training samples
- unsupervised learning
- multi class
- feature reduction
- class separability
- active learning
- training set