Distributed personalized imputation based on Gaussian mixture model for missing data.
Sicong ChenYing LiuPublished in: Neural Comput. Appl. (2024)
Keyphrases
- missing data
- gaussian mixture model
- mixture model
- missing values
- multiple imputation
- incomplete data
- expectation maximization
- maximum likelihood
- data imputation
- motion segmentation
- matrix factorization
- em algorithm
- finite mixture models
- low rank
- gaussian mixture
- gaussian mixture modeling
- feature vectors
- structure from motion
- background subtraction
- imputation methods
- statistical databases
- density estimation
- perfect phylogeny
- missing information
- similarity measure
- k means
- text classification
- moving objects
- clustering algorithm
- active learning
- generative model
- information retrieval