Dimensionality Reduction in a P2P System.
Mouna KacimiKokou YétongnonPublished in: DEXA Workshops (2007)
Keyphrases
- dimensionality reduction
- peer to peer
- high dimensional data
- principal component analysis
- high dimensional
- high dimensionality
- data representation
- feature selection
- input space
- data points
- pattern recognition and machine learning
- structure preserving
- feature extraction
- dimensionality reduction methods
- manifold learning
- low dimensional
- principal components
- feature space
- peer to peer systems
- lower dimensional
- random projections
- metric learning
- pattern recognition
- peer to peer computing
- resource discovery
- linear discriminant analysis
- overlay network
- linear projection
- linear dimensionality reduction
- file sharing
- neural network
- nonlinear dimensionality reduction
- intrinsic dimensionality
- locally linear embedding
- sparse representation
- distributed network
- trust management
- resource sharing
- discriminant analysis
- small world
- dimension reduction
- image processing
- data sharing