Linear regression based projections for dimensionality reduction.
Sibao ChenChris H. Q. DingBin LuoPublished in: Inf. Sci. (2018)
Keyphrases
- nonlinear dimensionality reduction
- dimensionality reduction
- linear projection
- low dimensional
- high dimensional data
- dimensionality reduction methods
- pattern recognition
- high dimensional
- principal component analysis
- data representation
- high dimensionality
- feature extraction
- feature space
- machine learning
- subspace learning
- principal components
- linear discriminant analysis
- feature selection
- gaussian process
- linear model
- convex sets
- linear systems
- lower dimensional
- closed form
- linear constraints
- learning algorithm
- data sets
- pattern recognition and machine learning