Machine Learning based Multiscale Reduced Kernel PCA for Nonlinear Process Monitoring.
Khaled DhibiRadhia FezaiKais BouzraraMajdi MansouriAbdelmalek KouadriMohamed Faouzi HarkatPublished in: SSD (2020)
Keyphrases
- kernel pca
- multiscale
- machine learning
- kernel methods
- kernel principal component analysis
- principal component analysis
- laplacian eigenmaps
- spectral clustering
- dimensionality reduction
- face recognition
- kernel function
- support vector machine
- feature space
- kernel matrix
- image processing
- input space
- image segmentation
- learning problems
- pattern recognition
- high dimensional feature space
- feature selection
- learning tasks
- machine learning algorithms
- text classification
- neural network
- learning algorithm
- semi supervised learning
- linear discriminant analysis
- active learning
- high dimensional
- data analysis
- decision trees
- unsupervised learning
- data sets
- discriminant analysis
- independent component analysis
- data clustering
- clustering algorithm
- least squares
- component analysis
- computer vision