Deriving Drought Vulnerability Index using Geographically Weighted Principal Component Analysis (GWPCA) and K-Means Clustering for Nile Basin.
Sachi PereraMohamed AllaliErik LinsteadHesham M. El-AskaryPublished in: IGARSS (2022)
Keyphrases
- principal component analysis
- river basin
- water resources
- independent component analysis
- similarity index
- risk management
- principal components
- covariance matrix
- k means
- dimensionality reduction
- linear discriminant analysis
- index structure
- dimension reduction
- low dimensional
- feature extraction
- face recognition
- risk assessment
- decision support system
- face images
- data mining
- singular value decomposition
- distributed data
- training procedure
- partitioned data
- weighted sum
- b tree
- database
- negative matrix factorization
- query processing
- high dimensional
- decision making
- neural network