Dimensionality Reduction Flows.
Hari Prasanna DasPieter AbbeelCostas J. SpanosPublished in: CoRR (2019)
Keyphrases
- dimensionality reduction
- high dimensional
- high dimensional data
- high dimensionality
- principal component analysis
- low dimensional
- pattern recognition and machine learning
- pattern recognition
- structure preserving
- lower dimensional
- data representation
- preprocessing step
- manifold learning
- dimensionality reduction methods
- feature selection
- random projections
- input space
- principal components
- diffusion maps
- linear discriminant analysis
- feature space
- linear projection
- singular value decomposition
- euclidean distance
- feature extraction
- data points
- principal components analysis
- nonlinear dimensionality reduction
- information retrieval
- sparse representation
- clustering algorithm
- image sequences
- multidimensional scaling
- intrinsic dimensionality
- graph embedding
- linear dimensionality reduction
- support vector
- data sets