Superlinear Subset Partition Graphs With Dimension Reduction, Strong Adjacency, and Endpoint Count.
Tristram C. BogartEdward D. KimPublished in: Comb. (2018)
Keyphrases
- dimension reduction
- principal component analysis
- low dimensional
- feature extraction
- singular value decomposition
- random projections
- high dimensional
- endpoints
- data mining and machine learning
- dimensionality reduction
- high dimensional problems
- feature selection
- variable selection
- cluster analysis
- vertex set
- high dimensional data
- linear discriminant analysis
- feature space
- partial least squares
- discriminative information
- dimension reduction methods
- high dimensional data analysis
- manifold learning
- high dimensionality
- machine learning
- feature subspace
- preprocessing
- intrinsic dimension
- image segmentation