Generalized Dimension-Reduction Framework for Recent-Biased Time Series Analysis.
Yanchang ZhaoShichao ZhangPublished in: IEEE Trans. Knowl. Data Eng. (2006)
Keyphrases
- dimension reduction
- low dimensional
- high dimensional
- high dimensional data analysis
- data mining and machine learning
- principal component analysis
- high dimensionality
- data mining
- sparse metric learning
- partial least squares
- high dimensional data
- feature space
- feature extraction
- data analysis
- feature subspace
- high dimensional problems
- manifold embedding
- similarity measure