Partition: a surjective mapping approach for dimensionality reduction.
Joshua MillsteinFrancesca BattaglinMalcolm BarrettShu CaoWu ZhangSebastian StintzingVolker HeinemannHeinz-Josef LenzPublished in: Bioinform. (2020)
Keyphrases
- dimensionality reduction
- high dimensional data
- high dimensional
- low dimensional
- data representation
- principal component analysis
- pattern recognition
- feature extraction
- high dimensionality
- principal components
- feature space
- dimensionality reduction methods
- structure preserving
- kernel pca
- ontology mapping
- high dimensional feature space
- embedding space
- nonlinear dimensionality reduction
- pattern recognition and machine learning
- dimension reduction
- data points
- feature selection
- low dimensional spaces
- neural network
- intrinsic dimensionality
- semi supervised dimensionality reduction
- latent space
- multidimensional scaling
- random projections
- metric learning
- input space
- relational databases
- image processing