Neural network architecture with intermediate distribution-driven layer for classification of multidimensional data with low class separability.
Weronika Borek-MarciniecPawel KsieniewiczPublished in: Appl. Intell. (2023)
Keyphrases
- class separability
- multidimensional data
- dimensionality reduction
- feature space
- feature selection
- pattern recognition
- linear discriminant analysis
- image classification
- machine learning
- range queries
- discriminant analysis
- neural network
- support vector machine
- support vector
- decision trees
- data sets
- multi dimensional
- data warehouse
- data visualization
- intra class
- index structure
- feature vectors
- feature extraction
- databases