Granular-Based Dimension Reduction for Solar Radiation Prediction Using Adaptive Memory Programming.
Abdel-Rahman HedarAlaa E. Abdel-HakimMajid AlmaraashiPublished in: GECCO (Companion) (2016)
Keyphrases
- dimension reduction
- solar radiation
- air temperature
- prediction model
- principal component analysis
- feature extraction
- high dimensional
- singular value decomposition
- linear discriminant analysis
- low dimensional
- high dimensional data
- partial least squares
- random projections
- feature selection
- data mining and machine learning
- feature space
- manifold learning
- unsupervised learning
- relative humidity
- dimensionality reduction
- high dimensional problems
- discriminative information
- high dimensional data analysis
- high dimensionality
- cluster analysis
- variable selection
- semi supervised
- discriminant analysis
- nearest neighbor
- manifold embedding
- dimension reduction methods
- support vector
- decision trees
- image processing