Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis.
Sandra Ortega-MartorellIván OlierAlfredo VellidoMargarida Julià-SapéCarles ArúsPublished in: ESANN (2010)
Keyphrases
- dimensionality reduction
- neurodegenerative diseases
- cancer diagnosis
- brain tumours
- principal component analysis
- medical images
- attention deficit hyperactivity disorder
- high dimensional
- low dimensional
- high dimensional data
- random projections
- medical diagnosis
- data representation
- human brain
- model based diagnosis
- brain images
- spectral analysis
- feature selection
- fault diagnosis
- principal components
- pattern recognition
- structure preserving
- kernel pca
- data points
- feature extraction
- linear discriminant analysis
- fault detection
- information extraction
- high dimensionality
- electrical activity
- feature space
- discriminant analysis
- pet images
- data sets
- nonlinear dimensionality reduction
- brain tumors
- kernel learning
- magnetic resonance
- database
- manifold learning