Parallel Dimensionality Reduction for Multiextremal Optimization Problems.
Victor GergelVladimir A. GrishaginRuslan IsrafilovPublished in: PaCT (2019)
Keyphrases
- nearest neighbor
- dimensionality reduction
- optimization problems
- high dimensional data
- high dimensional
- data points
- evolutionary algorithm
- low dimensional
- data representation
- high dimensionality
- feature space
- dimensionality reduction methods
- parallel processing
- manifold learning
- parallel implementation
- pattern recognition and machine learning
- random projections
- feature extraction
- parallel programming
- graph embedding
- structure preserving
- linear discriminant analysis
- pattern recognition
- cost function
- metaheuristic
- parallel computation
- feature selection
- objective function
- principal component analysis
- combinatorial optimization
- shared memory
- traveling salesman problem
- lower dimensional
- principal components
- kernel pca
- massively parallel
- multi core processors
- optimization methods
- parallel hardware