Ensuring Explainability and Dimensionality Reduction in a Multidimensional HSI World for Early XAI-Diagnostics of Plant Stress.
Maxim LysovKonstantin PukhkiyEvgeny VasilievAlexandra GetmanskayaVadim TurlapovPublished in: Entropy (2023)
Keyphrases
- dimensionality reduction
- power plant
- multidimensional data
- principal component analysis
- pattern recognition
- data representation
- high dimensional data
- pattern recognition and machine learning
- high dimensionality
- dimensionality reduction methods
- control system
- feature selection
- low dimensional
- feature space
- feature extraction
- linear dimensionality reduction
- locally linear embedding
- world model
- structure preserving
- random projections
- principal components
- metric learning
- data points
- high dimensional
- target detection
- hyperspectral imagery
- graph embedding
- expert systems
- real time
- linear discriminant analysis
- multi dimensional
- real time control
- condition monitoring
- multidimensional space
- image segmentation
- arabidopsis thaliana
- neural network