Autoencoder, Principal Component Analysis and Support Vector Regression for Data Imputation
Vukosi Ntsakisi MarivateFulufhelo V. NelwamondoTshilidzi MarwalaPublished in: CoRR (2007)
Keyphrases
- support vector regression
- data imputation
- principal component analysis
- missing values
- missing data
- principal components
- support vector
- kernel function
- low dimensional
- independent component analysis
- hybrid model
- extreme learning machine
- regression model
- dimensionality reduction
- support vector machine svm
- face recognition
- high dimensional data
- feature space
- feature extraction
- response surface methodology
- nonlinear regression
- hybrid genetic
- support vector classification
- singular spectrum analysis
- support vector machine
- learning algorithm
- forecasting model
- k nearest neighbor
- nearest neighbor
- knn
- data mining
- neural network