Can Laplacian Eigenmaps Be Used for Differentiation Between Healthy Subjects and Patients With Corrected Tetralogy of Fallot?
Ben JacobsAmalia Villa GómezJonathan MoeyersonsSabine Van HuffelRik WillemsCarolina VaronPublished in: CinC (2020)
Keyphrases
- healthy subjects
- laplacian eigenmaps
- manifold learning
- kernel pca
- nonlinear dimensionality reduction
- brain computer interface
- extracted features
- graph laplacian
- dimensionality reduction
- low dimensional
- diffusion tensor imaging
- locally linear embedding
- euclidean space
- eeg signals
- data mining
- spectral clustering
- kernel methods
- training data
- functional magnetic resonance imaging
- classification accuracy
- pattern recognition
- feature extraction
- computer vision