A Dimension-Reduction Framework for Human Behavioral Time Series Data.
Santi PhithakkitnukoonRam DantuPublished in: AAAI Spring Symposium: Technosocial Predictive Analytics (2009)
Keyphrases
- dimension reduction
- high dimensional
- high dimensional data analysis
- low dimensional
- high dimensional data
- high dimensional problems
- pattern recognition
- feature space
- principal component analysis
- singular value decomposition
- sparse metric learning
- data mining and machine learning
- linear discriminant analysis
- image processing
- variable selection
- multiple features
- database
- feature subspace
- feature extraction
- data mining