Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications.
Ye YuanXin LuoMengChu ZhouPublished in: IEEE Trans. Emerg. Top. Comput. Intell. (2024)
Keyphrases
- industrial applications
- factor analysis
- high dimensional
- latent factors
- component analysis
- independent component analysis
- discriminant analysis
- cluster analysis
- industrial systems
- correspondence analysis
- matrix factorization
- low dimensional
- statistical tests
- latent variables
- automatic model selection
- missing data
- neural network
- singular value decomposition
- high dimensional data
- blind source separation
- dimensionality reduction
- nearest neighbor
- feature space
- computer vision