An adaptive dimension reduction scheme for monitoring feedback-controlled processes.
Kaibo WangFugee TsungPublished in: Qual. Reliab. Eng. Int. (2009)
Keyphrases
- dimension reduction
- principal component analysis
- low dimensional
- data mining and machine learning
- feature extraction
- high dimensional
- discriminative information
- feature space
- feature selection
- partial least squares
- variable selection
- linear discriminant analysis
- singular value decomposition
- high dimensionality
- high dimensional data
- random projections
- unsupervised learning
- high dimensional problems
- manifold learning
- dimensionality reduction
- preprocessing
- face recognition
- data sets
- cluster analysis
- pairwise
- discriminant analysis
- support vector
- training data
- nearest neighbor
- image segmentation
- manifold embedding
- high dimensional data analysis
- sparse metric learning