DREiMac: Dimensionality Reduction with Eilenberg-MacLane Coordinates.
Jose A. PereaLuis ScoccolaChristopher J. TraliePublished in: J. Open Source Softw. (2023)
Keyphrases
- dimensionality reduction
- high dimensional data
- principal component analysis
- high dimensional
- high dimensionality
- input space
- low dimensional
- feature extraction
- pattern recognition
- data representation
- data points
- feature space
- linear discriminant analysis
- euclidean distance
- metric learning
- dimensionality reduction methods
- nonlinear dimensionality reduction
- pattern recognition and machine learning
- singular value decomposition
- random projections
- structure preserving
- dimension reduction
- linear dimensionality reduction
- kernel pca
- feature selection
- search engine
- machine learning
- diffusion maps
- decision trees
- website
- preprocessing step
- sparse representation
- lower dimensional
- manifold learning
- artificial intelligence
- graph embedding
- real time
- linear projection
- data mining