An optimal dimension reduction strategy and experimental evaluation for Parkinson's disease classification.
D. SaiduluR. SasikalaPublished in: Int. J. Bus. Intell. Data Min. (2022)
Keyphrases
- dimension reduction
- experimental evaluation
- feature extraction
- discriminative information
- high dimensional
- random projections
- principal component analysis
- feature selection
- high dimensionality
- linear discriminant analysis
- high dimensional problems
- data mining and machine learning
- partial least squares
- low dimensional
- high dimensional data
- feature space
- dimensionality reduction
- variable selection
- classification accuracy
- unsupervised learning
- singular value decomposition
- cluster analysis
- feature construction
- manifold learning
- principle component analysis
- preprocessing
- dimension reduction methods
- data sets
- feature subspace
- high dimensional data analysis
- cross validation
- support vector machine
- support vector
- neural network