Fusing sufficient dimension reduction with neural networks.
Daniel B. KaplaLukas FertlEfstathia BuraPublished in: Comput. Stat. Data Anal. (2022)
Keyphrases
- dimension reduction
- neural network
- feature extraction
- high dimensional
- principal component analysis
- pattern recognition
- data mining and machine learning
- linear discriminant analysis
- partial least squares
- singular value decomposition
- random projections
- high dimensional data
- high dimensional problems
- feature selection
- variable selection
- feature space
- dimensionality reduction
- manifold learning
- low dimensional
- high dimensionality
- discriminative information
- high dimensional data analysis
- unsupervised learning
- manifold embedding
- cluster analysis
- image processing
- real world
- data analysis
- sparse metric learning
- dimension reduction methods
- support vector machine
- self organizing maps
- data sets
- data sources
- image data