Dimension Reduction of Large AND-NOT Network Models.
Alan Veliz-CubaReinhard C. LaubenbacherBoris AguilarPublished in: CoRR (2013)
Keyphrases
- dimension reduction
- principal component analysis
- feature selection
- high dimensional problems
- random projections
- feature space
- dimensionality reduction
- low dimensional
- feature extraction
- preprocessing step
- high dimensional
- image data
- model selection
- unsupervised learning
- manifold learning
- partial least squares
- database