Dimension Reduction of Multivariable Optical Emission Spectrometer Datasets for Industrial Plasma Processes.
Jie YangConor McArdleStephen DanielsPublished in: Sensors (2014)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional problems
- singular value decomposition
- high dimensional
- high dimensional data
- low dimensional
- feature space
- data mining and machine learning
- linear discriminant analysis
- manifold learning
- random projections
- dimensionality reduction
- high dimensionality
- variable selection
- unsupervised learning
- dimension reduction methods
- feature selection
- discriminative information
- infrared
- cluster analysis
- image processing
- data sets
- least squares
- real world
- data mining
- dimensionality reduction methods
- partial least squares
- preprocessing
- learning algorithm
- face recognition
- reinforcement learning
- probabilistic model
- knn