MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data.
Cheng LiangDi WuYi HeTeng HuangZhong ChenXin LuoPublished in: ECML/PKDD (5) (2023)
Keyphrases
- incomplete data
- high dimensional
- metric space
- missing data
- missing values
- learning bayesian networks
- bayesian networks
- em algorithm
- incomplete data sets
- low dimensional
- similarity search
- high dimensional data
- input data
- bayes classifier
- feature space
- variational bayesian
- data sets
- dimensionality reduction
- support vector machine
- irrelevant attributes
- multiple imputation
- missing attribute values
- machine learning