Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures.
Peng CaoXiaoli LiuJinzhu YangDazhe ZhaoMin HuangJian ZhangOsmar R. ZaïanePublished in: Comput. Biol. Medicine (2017)
Keyphrases
- dimensionality reduction
- ad patients
- feature extraction
- pattern recognition
- dimensionality reduction methods
- mri data
- normal controls
- high dimensionality
- classification accuracy
- feature selection
- cortical thickness
- image classification
- decision trees
- feature space
- text classification
- feature vectors
- medical images
- magnetic resonance imaging
- data representation
- pattern classification
- class labels
- high dimensional data
- high dimensional
- principal component analysis
- machine learning
- dimension reduction
- support vector machine svm
- principal components
- model selection
- low dimensional
- support vector machine
- mr imaging
- face recognition
- mild cognitive impairment
- pattern recognition and machine learning