Robust clustering via mixtures of t factor analyzers with incomplete data.
Wan-Lun WangTsung-I LinPublished in: Adv. Data Anal. Classif. (2022)
Keyphrases
- incomplete data
- factor analyzers
- missing values
- learning bayesian networks
- missing data
- clustering algorithm
- low dimensional
- bayesian networks
- incomplete data sets
- k means
- high dimensional data
- clustering method
- multiple imputation
- unsupervised learning
- em algorithm
- bayes classifier
- mixtures of gaussians
- high dimensional
- training data
- metadata
- mixture model
- density estimation
- active learning
- irrelevant attributes
- image processing