Dimensionality Reduction with Evolutionary Shephard-Kruskal Embeddings.
Oliver KramerPublished in: ICPRAM (2018)
Keyphrases
- dimensionality reduction
- low dimensional
- high dimensional data
- manifold learning
- principal component analysis
- high dimensional
- high dimensionality
- feature extraction
- dimensionality reduction methods
- pattern recognition
- data representation
- feature selection
- evolutionary computation
- linear discriminant analysis
- evolutionary optimization
- data points
- structure preserving
- random projections
- input space
- lower dimensional
- low dimensional spaces
- euclidean distance
- feature space
- pattern recognition and machine learning
- metric learning
- genetic algorithm
- singular value decomposition
- nonlinear dimensionality reduction
- locally linear embedding
- computer vision
- data sets
- machine learning
- graph embedding
- image processing
- sparse representation
- principal components
- evolutionary process
- phylogenetic trees
- high dimensional spaces
- data analysis