Semi-supervised possibilistic c-means clustering algorithm based on feature weights for imbalanced data.
Haiyan YuXiaoyu XuHonglei LiYuting WuBo LeiPublished in: Knowl. Based Syst. (2024)
Keyphrases
- possibilistic c means
- imbalanced data
- feature weights
- semi supervised
- clustering algorithm
- possibilistic clustering
- feature selection
- feature weighting
- fuzzy c means
- support vector machine
- fuzzy clustering
- unlabeled data
- class distribution
- linear regression
- semi supervised learning
- labeled data
- training data
- svm classifier
- active learning
- distance function
- sampling methods
- pairwise
- multi view
- ensemble methods
- class imbalance
- text categorization
- decision trees
- unsupervised learning
- supervised learning
- cluster validity index
- regression model
- objective function
- metric learning
- dimensionality reduction
- feature extraction
- fcm algorithm
- neural network
- computer vision
- support vector
- similarity search
- clustering method
- data sets
- k means