An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification.
Hakan GunduzPublished in: Biomed. Signal Process. Control. (2021)
Keyphrases
- dimensionality reduction methods
- dimensionality reduction
- discriminant analysis
- pattern recognition
- feature extraction
- support vector machine svm
- feature vectors
- classification accuracy
- principal components analysis
- supervised dimensionality reduction
- decision trees
- data sets
- feature space
- tumor classification
- discriminant projection
- preprocessing step
- feature set
- cross validation
- text classification
- supervised learning
- knn
- support vector
- dimension reduction
- generalization ability
- kernel learning
- preprocessing
- feature selection
- data mining