DRKPCA-VBGMM: fault monitoring via dynamically-recursive kernel principal component analysis with variational Bayesian Gaussian mixture model.
Meiling CaiYaqin ShiJinping LiuJean Paul NiyoyitaHadi JahanshahiAyman A. AlyPublished in: J. Intell. Manuf. (2023)
Keyphrases
- gaussian mixture model
- kernel principal component analysis
- feature vectors
- feature space
- mixture model
- expectation maximization
- kernel pca
- feature extraction
- principal components
- discriminant analysis
- principal component analysis
- kernel function
- em algorithm
- kernel methods
- high dimensional
- density estimation
- face recognition
- maximum likelihood
- probability density function
- dimensionality reduction
- matrix factorization
- information retrieval
- linear discriminant analysis
- machine learning
- parameter estimation
- support vector machine svm
- pattern recognition
- gaussian distribution
- incomplete data
- similarity measure