Locally linear embedding (LLE) for MRI based Alzheimer's disease classification.
Xin LiuDuygu TosunMichael W. WeinerNorbert SchuffPublished in: NeuroImage (2013)
Keyphrases
- locally linear embedding
- dimensionality reduction
- nonlinear dimensionality reduction
- manifold learning
- dimensionality reduction methods
- high dimensional
- high dimensional data
- low dimensional
- dimensional reduction
- feature mapping
- locally linear
- dimensional data
- high dimensionality
- pattern recognition
- feature extraction
- laplacian eigenmaps
- principal components analysis
- principal component analysis
- locality preserving projections
- feature space
- data sets
- feature vectors
- decision trees
- orthogonal projection
- feature selection
- multi dimensional
- manifold learning algorithm
- support vector
- subspace learning
- neighborhood preserving embedding
- data points
- classification accuracy
- image processing
- machine learning
- geodesic distance
- dimension reduction
- linear discriminant analysis
- medical imaging
- medical images
- feature set
- nearest neighbor
- data analysis