Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series.
Bastian SeifertKatharina KornSteffen HartmannChristian UhlPublished in: CoRR (2018)
Keyphrases
- component analysis
- dimensionality reduction
- high dimensional
- low dimensional
- factor analysis
- high dimensionality
- linear dimensionality reduction
- high dimensional data
- data representation
- blind source separation
- euclidean distance
- dynamic time warping
- principal component analysis
- data points
- feature space
- subspace learning
- non stationary
- feature extraction
- locally linear embedding
- nonlinear dimensionality reduction
- feature selection
- manifold learning
- linear discriminant analysis
- unsupervised learning
- nearest neighbor
- dimension reduction
- similarity search
- high dimensional spaces
- kernel pca
- independent component analysis
- sparse representation
- sparse coding
- pairwise
- computer vision
- linear transform