Handling missing data in model-based clustering.
Alessio SerafiniThomas Brendan MurphyLuca ScruccaPublished in: CoRR (2020)
Keyphrases
- missing data
- model based clustering
- finite mixture models
- hierarchical clustering
- missing values
- structure from motion
- em algorithm
- mixture model
- expectation maximization
- low rank
- incomplete data
- vector space model
- k means
- matrix factorization
- bayesian information criterion
- clustering algorithm
- maximum likelihood
- multiple imputation
- machine learning
- prior knowledge