Group-wise sufficient dimension reduction with principal fitted components.
Kofi P. AdragniElias Al-NajjarSean MartinSai K. PopuriAndrew M. RaimPublished in: Comput. Stat. (2016)
Keyphrases
- dimension reduction
- group wise
- principal component analysis
- feature extraction
- high dimensional
- singular value decomposition
- low dimensional
- feature space
- high dimensional data
- cortical thickness
- linear discriminant analysis
- medical image analysis
- high dimensionality
- feature selection
- atlas construction
- dimensionality reduction
- manifold learning
- diffusion tensor images
- image processing
- cluster analysis
- unsupervised learning
- computer vision
- data sets
- loss function
- machine learning