Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data.
Yanchang ZhaoChengqi ZhangShichao ZhangPublished in: Australian Conference on Artificial Intelligence (2006)
Keyphrases
- dimension reduction
- high dimensional
- principal component analysis
- high dimensional problems
- low dimensional
- feature extraction
- variable selection
- discrete wavelet transform
- high dimensional data
- data mining and machine learning
- feature selection
- dimensionality reduction
- wavelet transform
- manifold learning
- linear discriminant analysis
- feature space
- partial least squares
- multiresolution
- high dimensionality
- random projections
- discriminative information
- unsupervised learning
- singular value decomposition
- high dimensional data analysis
- cluster analysis
- preprocessing
- sparse metric learning
- data mining
- dimension reduction methods