Missing value imputation using a novel grey based fuzzy c-means, mutual information based feature selection, and regression model.
Amir Masoud SefidianNegin DaneshpourPublished in: Expert Syst. Appl. (2019)
Keyphrases
- regression model
- missing values
- fuzzy c means
- feature selection
- mutual information
- fuzzy clustering
- model selection
- data imputation
- missing data
- clustering algorithm
- fuzzy clustering algorithm
- clustering method
- fcm algorithm
- image registration
- image segmentation
- high dimensional data
- membership functions
- incomplete data
- information gain
- k means
- cluster analysis
- text categorization
- support vector
- prediction model
- dimensionality reduction
- machine learning
- unsupervised learning
- possibilistic c means
- classification accuracy
- dimension reduction
- feature set
- feature extraction
- image processing
- text classification
- imputation methods
- least squares
- support vector machine
- rough sets
- euclidean distance
- high dimensional
- cluster centers
- learning algorithm