Dimensionality reduction as a non-cooperative game.
Hirotada HondaPhuong DinhPham Thu ThaoYuho TabataBui Duc AnhPublished in: ICAIIC (2023)
Keyphrases
- cooperative game
- dimensionality reduction
- optimal strategy
- high dimensionality
- high dimensional data
- high dimensional
- principal component analysis
- feature extraction
- data representation
- manifold learning
- low dimensional
- pattern recognition
- dimensionality reduction methods
- linear dimensionality reduction
- data points
- nonlinear dimensionality reduction
- feature space
- random projections
- pattern recognition and machine learning
- preprocessing step
- input space
- lower dimensional
- structure preserving
- feature selection
- venture capital
- intrinsic dimensionality
- principal components
- dimension reduction
- principal components analysis
- kernel pca
- linear discriminant analysis
- kernel learning
- locally linear embedding
- knn
- dynamic programming
- special case
- search space
- data analysis
- objective function
- machine learning