Automatic Deep Sparse Multi-Trial Vector-based Differential Evolution clustering with manifold learning and incremental technique.
Parham HadikhaniDaphne Teck Ching LaiWee-Hong OngMohammad H. Nadimi-ShahrakiPublished in: Image Vis. Comput. (2023)
Keyphrases
- differential evolution
- manifold learning
- high dimensional
- high dimensional data
- evolutionary algorithm
- sparse representation
- locality preserving
- low dimensional
- optimization algorithm
- differential evolution algorithm
- dimensionality reduction
- particle swarm optimization
- diffusion maps
- subspace learning
- nonlinear dimensionality reduction
- semi supervised
- mutation operator
- clustering method
- genetic algorithm
- clustering algorithm
- dimension reduction
- numerical optimization problems
- vector space
- manifold structure
- high dimensionality
- data points
- k means
- unsupervised learning
- feature extraction
- multi objective
- spectral clustering
- cluster analysis
- global optimization problems
- sparse coding
- feature space
- pattern recognition
- parameter optimization
- locally linear embedding
- global optimization
- feature vectors
- neural network