A fast and efficient clustering based fuzzy time series algorithm (FEFTS) for regression and classification.
Hossein SaberiAlireza RahaiFarzad HatamiPublished in: Appl. Soft Comput. (2017)
Keyphrases
- classification algorithm
- preprocessing
- support vector machine svm
- computational complexity
- learning algorithm
- regression problems
- classification scheme
- pattern recognition
- dynamic programming
- computationally efficient
- support vector
- regression method
- worst case
- k means
- linear regression
- classification method
- class labels
- multi class classification
- probabilistic model
- optimal solution
- objective function
- single pass
- simulated annealing
- clustering analysis
- aggregating algorithm
- clustering method
- segmentation algorithm
- expectation maximization
- neural network
- classification accuracy
- feature space
- feature extraction
- feature selection
- machine learning