X-SOM and L-SOM: a nested approach for missing value imputation.
Paul MerlinAntti SorjamaaBertrand MailletAmaury LendassePublished in: ESANN (2009)
Keyphrases
- missing values
- self organizing maps
- kohonen self organizing map
- missing data
- data imputation
- incomplete data
- missing data imputation
- neural network
- competitive learning
- k means
- feature vectors
- high dimensional data
- topology preserving
- growing self organizing map
- kohonen self organizing maps
- incomplete data sets
- imputation methods
- neural gas
- high dimensional
- input space
- data matrix
- multiple imputation
- som neural network
- unsupervised learning
- input data
- matrix factorization
- missing information
- noisy data
- training data
- machine learning