An optimal dimension reduction-based feature selection and classification strategy for geospatial imagery.
Ajeet SinghVikas TiwariPublished in: Int. J. Knowl. Eng. Soft Data Paradigms (2019)
Keyphrases
- dimension reduction
- feature selection and classification
- high dimensionality
- feature selection
- feature extraction
- high dimensional
- principal component analysis
- random projections
- high dimensional data
- geospatial data
- low dimensional
- dimensionality reduction
- linear discriminant analysis
- high dimensional problems
- manifold learning
- singular value decomposition
- feature space
- image processing
- unsupervised learning
- image data
- neural network
- learning tasks
- text classification
- least squares
- data points
- training data