DR-KNN: A Hybrid Approach for Dimensionality Reduction of EO Image Datasets.
Andreea GriparisDaniela FaurMihai DatcuPublished in: IGARSS (2020)
Keyphrases
- knn
- dimensionality reduction
- k nearest neighbor
- dimensionality reduction methods
- feature selection
- nearest neighbor
- k nearest neighbour
- high dimensional data
- input space
- principal component analysis
- low dimensional
- text categorization
- distance function
- high dimensional
- knn algorithm
- classification algorithm
- data points
- pattern recognition
- principal components
- feature extraction
- support vector machine svm
- nonlinear dimensionality reduction
- support vector machine
- feature space
- similarity search
- k nearest
- range queries
- manifold learning
- euclidean distance
- test instances
- principal components analysis
- dimension reduction
- linear discriminant analysis
- text classification
- metric learning
- nearest neighbour
- discriminant analysis
- classification method
- knn classification