Dimensionality Reduction via Diffusion Map Improved with Supervised Linear Projection.
Bowen JiangMaohao ShenPublished in: CoRR (2020)
Keyphrases
- linear projection
- dimensionality reduction
- unsupervised learning
- optimization criterion
- feature selection
- supervised dimensionality reduction
- high dimensional
- linear discriminant analysis
- high dimensional data
- low dimensional
- high dimensionality
- pattern recognition
- data representation
- principal component analysis
- singular value decomposition
- subspace learning
- supervised learning
- data points
- learning algorithm
- semi supervised
- intrinsic dimensionality
- lower dimensional
- computer vision
- data sets
- machine learning
- dimensionality reduction methods
- feature space
- random projections
- principal components
- dimension reduction
- feature extraction
- utility function
- image processing