Dimensionality reduction for multivariate time-series data mining.
Xiaoji WanHailin LiLiping ZhangYenchun Jim WuPublished in: J. Supercomput. (2022)
Keyphrases
- dimensionality reduction
- high dimensional
- high dimensional data
- high dimensionality
- low dimensional
- pattern recognition
- principal component analysis
- data representation
- linear discriminant analysis
- feature extraction
- data points
- multivariate data
- feature selection
- feature space
- principal components
- dimensionality reduction methods
- euclidean distance
- regression model
- linear dimensionality reduction
- input space
- dynamic time warping
- nonlinear dimensionality reduction
- similarity search
- multivariate gaussian distribution
- singular value decomposition
- lower dimensional
- manifold learning
- dimension reduction
- statistical tests
- mixed data
- medical data mining
- metric learning
- sparse representation
- privacy issues
- pattern extraction
- data sets
- kernel learning
- nearest neighbor
- intrinsic dimensionality
- structure preserving