A hybrid method for imputation of missing values using optimized fuzzy c-means with support vector regression and a genetic algorithm.
Ibrahim Berkan AydilekAhmet ArslanPublished in: Inf. Sci. (2013)
Keyphrases
- missing values
- support vector regression
- hybrid method
- fcm algorithm
- fuzzy c means
- genetic algorithm
- hybrid algorithm
- support vector machine
- missing data
- data imputation
- fuzzy clustering
- regression model
- incomplete data
- missing data imputation
- support vector
- support vector machine svm
- simulated annealing
- kernel function
- high dimensional data
- clustering algorithm
- fitness function
- neural network
- multi objective
- genetic algorithm ga
- clustering method
- multiple imputation
- artificial neural networks
- tabu search
- metaheuristic
- membership functions
- optimal solution
- evolutionary algorithm
- imputation methods
- fuzzy logic
- breast cancer
- optimization method
- particle swarm optimization pso
- radial basis function
- feature space
- euclidean distance
- image segmentation
- k means