Dimension Reduction for Time Series in a Blind Source Separation Context Using R.
Klaus NordhausenMarkus MatilainenJari MiettinenJoni VirtaSara TaskinenPublished in: J. Stat. Softw. (2021)
Keyphrases
- dimension reduction
- blind source separation
- principal component analysis
- non stationary
- independent component analysis
- feature extraction
- high dimensional
- low dimensional
- negative matrix factorization
- singular value decomposition
- linear discriminant analysis
- blind separation
- random projections
- high dimensionality
- high dimensional data
- dimensionality reduction
- feature selection
- source separation
- feature space
- preprocessing
- independent components
- data mining
- unsupervised learning
- support vector