An Adaptive Robust Semi-Supervised Clustering Framework Using Weighted Consensus of Random $k$k-Means Ensemble.
Yongxuan LaiSongyao HeZhijie LinFan YangQifeng ZhouXiaofang ZhouPublished in: IEEE Trans. Knowl. Data Eng. (2021)
Keyphrases
- clustering framework
- semi supervised
- k means
- cluster ensemble
- clustering method
- clustering algorithm
- consensus clustering
- labeled data
- semi supervised learning
- text clustering
- clustering ensemble
- pairwise
- constrained clustering
- active learning
- semi supervised clustering
- partitional clustering
- neural network
- metric learning
- unsupervised learning
- unlabeled data
- cluster analysis
- high dimensional datasets
- supervised learning
- data clustering
- hierarchical clustering
- similarity metric
- data analysis
- training data
- learning algorithm
- machine learning