Classification of Patients with Alzheimer's Disease Based on Structural MRI Using Locally Linear Embedding (LLE).
Zhiguo LuoLing-Li ZengFanglin ChenPublished in: CCBR (2014)
Keyphrases
- locally linear embedding
- dimensionality reduction
- nonlinear dimensionality reduction
- manifold learning
- dimensional reduction
- high dimensional
- low dimensional
- dimensionality reduction methods
- feature mapping
- high dimensional data
- locally linear
- locality preserving projections
- classification accuracy
- laplacian eigenmaps
- multiple sclerosis
- pattern recognition
- dimensional data
- feature selection
- feature space
- feature extraction
- orthogonal projection
- early diagnosis
- feature vectors
- high dimensionality
- dimension reduction
- support vector machine
- machine learning
- principal component analysis
- support vector
- data sets
- neighborhood preserving embedding
- subspace learning
- shape analysis
- image classification
- medical images
- multi dimensional
- nearest neighbor
- knn
- data points
- underlying manifold
- decision trees