X-SOM and L-SOM: A double classification approach for missing value imputation.
Paul MerlinAntti SorjamaaBertrand MailletAmaury LendassePublished in: Neurocomputing (2010)
Keyphrases
- missing values
- kohonen self organizing map
- self organizing maps
- data imputation
- missing data
- som neural network
- feature vectors
- multiple imputation
- incomplete data sets
- imputation methods
- unsupervised learning
- classification accuracy
- decision trees
- incomplete data
- feature values
- support vector
- input space
- k means
- high dimensional data
- high dimensional
- missing attribute values
- support vector machine
- statistical databases
- competitive learning
- pattern recognition
- growing self organizing map
- machine learning
- training set
- missing information
- discrete hidden markov models
- missing data imputation
- text classification
- feature extraction
- high dimensionality
- class labels