An overlapping oriented imbalanced ensemble learning algorithm with weighted projection clustering grouping and consistent fuzzy sample transformation.
Fan LiBo WangYinghua ShenPin WangYongming LiPublished in: Inf. Sci. (2023)
Keyphrases
- learning algorithm
- possibilistic c means
- clustering algorithm
- fuzzy clustering
- training data
- clustering analysis
- clustering method
- imbalanced data
- cluster analysis
- k means
- mining concept drifting data streams
- fuzzy sets
- membership functions
- fuzzy logic
- imbalanced class distribution
- overlapping clustering
- machine learning
- weighted association rule mining
- neural network
- cluster validity index
- weighted association rules
- document clustering
- data clustering
- hierarchical clustering
- machine learning algorithms
- active learning
- graph partitioning
- reinforcement learning
- meaningful clusters
- cluster ensemble
- clustering ensemble
- hierarchical clustering algorithm
- output space
- homogeneous groups
- electric load
- normalized cut
- fuzzy numbers
- random forest
- spectral clustering
- self organizing maps
- sample size
- back propagation
- high dimensional data
- data points
- support vector