Interpretable Dimension Reduction for MRI Channel Suppression.
Yuchou ChangJiming ZhangHuy Anh PhamJingyuan LyuZhiqiang LiPublished in: EMBC (2022)
Keyphrases
- dimension reduction
- magnetic resonance imaging
- high dimensional
- feature extraction
- high dimensional problems
- principal component analysis
- medical images
- feature selection
- low dimensional
- random projections
- data mining and machine learning
- partial least squares
- manifold learning
- singular value decomposition
- discriminative information
- cluster analysis
- high dimensionality
- high dimensional data analysis
- dimensionality reduction
- linear discriminant analysis
- high dimensional data
- unsupervised learning
- feature space
- variable selection
- probabilistic model
- high resolution
- training set
- preprocessing
- dimension reduction methods
- clustering algorithm