Uncertainty-Based Selective Clustering for Active Learning.
Sekjin HwangJinwoo ChoiJoonsoo ChoiPublished in: IEEE Access (2022)
Keyphrases
- active learning
- clustering algorithm
- clustering method
- k means
- semi supervised
- experimental design
- data clustering
- cluster analysis
- outlier detection
- self organizing maps
- graph theoretic
- uncertain data
- hierarchical clustering
- information theoretic
- relevance feedback
- data points
- learning process
- training set
- machine learning
- neural network
- random sampling
- inherent uncertainty
- cost sensitive
- similarity function
- learning strategies
- unsupervised learning
- learning algorithm