Application of variable selection and dimension reduction on predictors of MSE's development.
Habtamu Tilaye WubetiePublished in: J. Big Data (2019)
Keyphrases
- dimension reduction
- variable selection
- input variables
- high dimensional
- principal component analysis
- feature extraction
- high dimensional data
- linear models
- high dimensional data analysis
- singular value decomposition
- low dimensional
- manifold learning
- unsupervised learning
- cross validation
- linear discriminant analysis
- random projections
- feature space
- high dimensionality
- dimensionality reduction
- cluster analysis
- preprocessing
- feature vectors
- image sequences
- image processing
- ls svm
- computer vision
- real world