Incremental semi-supervised clustering ensemble for high dimensional data clustering.
Zhiwen YuPeinan LuoSi WuGuoqiang HanJane YouHareton LeungHau-San WongJun ZhangPublished in: ICDE (2016)
Keyphrases
- data clustering
- semi supervised clustering
- high dimensional
- k means
- clustering algorithm
- spectral clustering
- semi supervised
- unsupervised clustering
- pairwise constraints
- clustering ensemble
- unsupervised learning
- semi supervised learning
- metric learning
- low dimensional
- dimensionality reduction
- cluster analysis
- background knowledge
- ensemble methods
- clustering method
- cluster ensemble
- high dimensional data
- semi supervised classification
- nonnegative matrix factorization
- similarity search
- feature space
- data points
- training data
- supervised learning
- fuzzy c means
- feature selection
- nearest neighbor
- document clustering
- unlabeled data
- labeled data
- expectation maximization
- base classifiers
- dimension reduction
- loss function