Dimension Reduction for Physiological Variables Using Graphical Modeling.
Michael ImhoffRoland FriedUrsula GatherVivian LaniusPublished in: AMIA (2003)
Keyphrases
- dimension reduction
- variable selection
- principal component analysis
- high dimensional
- high dimensional problems
- high dimensional data
- low dimensional
- data mining and machine learning
- feature extraction
- random projections
- high dimensionality
- singular value decomposition
- cluster analysis
- feature space
- manifold learning
- feature selection
- partial least squares
- high dimensional data analysis
- dimensionality reduction
- discriminative information
- dimension reduction methods
- unsupervised learning
- least squares
- knn
- image data
- pattern recognition
- linear discriminant analysis
- neural network
- database