Some dimension reduction strategies for the analysis of survey data.
Jiaying WengDerek S. YoungPublished in: J. Big Data (2017)
Keyphrases
- dimension reduction
- survey data
- feature extraction
- partial least squares
- principal component analysis
- high dimensional problems
- high dimensional
- singular value decomposition
- data analysis
- manifold learning
- neural network
- low dimensional
- high dimensionality
- linear discriminant analysis
- high dimensional data
- dimensionality reduction
- information technology
- preprocessing
- bayesian networks
- image processing