Temporal Extension of Laplacian Eigenmaps for Unsupervised Dimensionality Reduction of Time Series.
Michal LewandowskiJesús Martínez del RincónDimitrios MakrisJean-Christophe NebelPublished in: ICPR (2010)
Keyphrases
- laplacian eigenmaps
- dynamic time warping
- manifold learning
- nonlinear dimensionality reduction
- kernel pca
- dimensionality reduction
- low dimensional
- non stationary
- pattern recognition
- graph laplacian
- empirical mode decomposition
- data sets
- similarity measure
- principal component analysis
- multi dimensional
- locally linear embedding