A Survey on Dimensionality Reduction Techniques for Time-Series Data.
Mohsena AshrafFarzana AnowarJahanggir Hossain SetuAtiqul Islam ChowdhuryEshtiak AhmedAshraful IslamAbdullah Al-MamunPublished in: IEEE Access (2023)
Keyphrases
- dimensionality reduction
- high dimensional
- data points
- high dimensional data
- high dimensionality
- principal component analysis
- low dimensional
- feature selection
- manifold learning
- data representation
- feature extraction
- dimensionality reduction methods
- linear dimensionality reduction
- input space
- pattern recognition
- linear discriminant analysis
- dimension reduction
- pattern recognition and machine learning
- principal components
- singular value decomposition
- lower dimensional
- structure preserving
- genetic algorithm
- anomaly detection
- preprocessing step
- random projections
- kernel pca
- feature space
- sparse representation
- metric learning
- kernel learning
- nonlinear dimensionality reduction
- linear projection
- data sets