Neural trees with peer-to-peer and server-to-client knowledge transferring models for high-dimensional data classification.
Shadi AbpeykarMehdi GhateePublished in: Expert Syst. Appl. (2019)
Keyphrases
- high dimensional data
- high dimensionality
- client server
- high dimensional
- peer to peer
- dimension reduction
- dimensionality reduction
- low dimensional
- data points
- decision trees
- subspace clustering
- high dimensions
- data analysis
- similarity search
- nearest neighbor
- feature vectors
- input space
- lower dimensional
- high dimensional datasets
- pattern recognition
- feature extraction
- data sets
- high dimensional feature spaces
- neural network
- manifold learning
- image data
- nonlinear dimensionality reduction
- high dimensional data sets
- client server architecture
- sparse representation
- support vector machine
- dimensionality reduction methods
- support vector