A Fast Nonnegative Autoencoder-Based Approach to Latent Feature Analysis on High-Dimensional and Incomplete Data.
Fanghui BiTiantian HeXin LuoPublished in: IEEE Trans. Serv. Comput. (2024)
Keyphrases
- incomplete data
- feature analysis
- high dimensional
- learning bayesian networks
- missing data
- missing values
- em algorithm
- incomplete data sets
- bayesian networks
- dimensionality reduction
- feature extraction
- face recognition
- low dimensional
- high dimensional data
- high dimensionality
- linear discriminant analysis
- data points
- nearest neighbor
- irrelevant attributes
- discriminant analysis
- dimension reduction
- latent variables
- feature space
- feature vectors
- image segmentation
- correlation filters
- typical testors
- neural network
- knn
- data mining