A Recent-Biased Dimension Reduction Technique for Time Series Data.
Yanchang ZhaoChengqi ZhangShichao ZhangPublished in: PAKDD (2005)
Keyphrases
- dimension reduction
- high dimensional
- principal component analysis
- feature extraction
- low dimensional
- high dimensional problems
- unsupervised learning
- singular value decomposition
- linear discriminant analysis
- high dimensional data
- data mining and machine learning
- random projections
- cluster analysis
- dimensionality reduction
- high dimensionality
- partial least squares
- dimension reduction methods
- variable selection
- discriminative information
- manifold learning
- feature selection
- feature space
- high dimensional data analysis
- nearest neighbor
- data points
- training set
- training data
- decision trees
- image processing
- data sets