Bagging-AdaTSK: An Ensemble Fuzzy Classifier for High-Dimensional Data.
Guangdong XueBingjie ZhangXiaoling GongJian WangPublished in: ICIC (3) (2022)
Keyphrases
- high dimensional data
- fuzzy classifier
- ensemble methods
- ensemble learning
- base classifiers
- random forest
- random forests
- fuzzy rules
- pattern classification
- nearest neighbor
- high dimensionality
- dimensionality reduction
- training set
- data sets
- low dimensional
- adaptive learning
- similarity search
- regression problems
- decision trees
- high dimensional
- data analysis
- subspace clustering
- data points
- feature set
- neuro fuzzy
- data distribution
- clustering high dimensional data
- input space
- sparse representation
- fuzzy membership functions
- genetic algorithm ga
- decision boundary
- feature selection
- expert systems
- semi supervised
- feature extraction
- subspace methods
- computer vision