Dynamical Component Analysis (DYCA): Dimensionality Reduction for High-Dimensional Deterministic Time-Series.
Bastian SeifertKatharina KornSteffen HartmannChristian UhlPublished in: MLSP (2018)
Keyphrases
- component analysis
- dimensionality reduction
- high dimensional
- low dimensional
- high dimensionality
- linear dimensionality reduction
- factor analysis
- blind source separation
- high dimensional data
- data points
- subspace learning
- dynamic time warping
- feature space
- principal component analysis
- non stationary
- similarity search
- euclidean distance
- data representation
- unsupervised learning
- feature extraction
- manifold learning
- nonlinear dimensionality reduction
- pattern recognition
- high dimensional spaces
- sparse representation
- linear discriminant analysis
- metric learning
- dimension reduction
- kernel pca
- locally linear embedding
- image processing
- model selection
- multiscale
- linear transform