MMLF: Multi-Metric Latent Feature Analysis for High-Dimensional and Incomplete Data.
Di WuPeng ZhangYi HeXin LuoPublished in: IEEE Trans. Serv. Comput. (2024)
Keyphrases
- incomplete data
- feature analysis
- high dimensional
- metric space
- learning bayesian networks
- missing data
- bayesian networks
- missing values
- incomplete data sets
- em algorithm
- dimensionality reduction
- similarity search
- low dimensional
- typical testors
- latent variables
- correlation filters
- multiple imputation
- face recognition
- computer vision
- high dimensionality
- high dimensional data
- dimension reduction
- linear discriminant analysis
- data sets
- nearest neighbor
- feature extraction
- learning algorithm
- unsupervised learning
- knn
- feature vectors
- training data
- decision trees