Nonlinear process monitoring using a mixture of probabilistic PCA with clusterings.
Jingxin ZhangMaoyin ChenXia HongPublished in: Neurocomputing (2021)
Keyphrases
- principal component analysis
- kernel pca
- k means
- dimensionality reduction
- generative model
- principal components analysis
- latent variable models
- linear dimensionality reduction
- principal components
- principle component analysis
- generalized em algorithm
- clustering algorithm
- kernel principal component analysis
- mixture model
- source separation
- feature extraction
- face recognition
- data clustering
- appearance based object recognition
- belief networks
- uncertain data
- face representation and recognition
- hierarchical clustering
- kernel methods
- probability distribution
- probabilistic model
- bayesian networks
- discriminant analysis
- negative matrix factorization
- cluster analysis
- singular value decomposition
- kernel function
- expectation maximization
- face images
- support vector machine
- high dimensional