Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms.
Nthabiseng HlaleleFulufhelo V. NelwamondoTshilidzi MarwalaPublished in: ICONIP (2) (2008)
Keyphrases
- missing data
- neuro fuzzy
- genetic algorithm
- principal component analysis
- missing values
- multiple imputation
- fuzzy rules
- hybrid learning
- neuro fuzzy systems
- face recognition
- low rank
- fuzzy logic
- feature extraction
- incomplete data
- dimensionality reduction
- principal components
- matrix factorization
- neural network
- neuro fuzzy network
- structure from motion
- dimension reduction
- data imputation
- artificial neural networks
- high dimensional
- recurrent neural networks
- feature space
- missing information
- imprecise data
- linear discriminant analysis
- database
- perfect phylogeny
- artificial intelligence
- recursive least squares
- singular value decomposition
- imputation methods
- machine learning
- image processing
- control system