Dimension Reduction in Dissimilarity Spaces for Time Series Classification.
Brijnesh J. JainStephan SpiegelPublished in: AALTD@PKDD/ECML (Revised Selected Papers) (2015)
Keyphrases
- dimension reduction
- feature space
- principal component analysis
- feature extraction
- high dimensional
- high dimensional data
- singular value decomposition
- feature selection
- low dimensional
- random projections
- high dimensional problems
- data mining and machine learning
- nearest neighbor
- linear discriminant analysis
- manifold learning
- partial least squares
- unsupervised learning
- high dimensionality
- preprocessing
- variable selection
- dimensionality reduction
- pairwise
- discriminative information
- high dimensional data analysis
- neural network
- discriminant analysis
- cluster analysis
- support vector machine svm
- data sets