Shrinkage Clustering: a fast and size-constrained clustering algorithm for biomedical applications.
Chenyue W. HuHanyang LiAmina A. QutubPublished in: BMC Bioinform. (2018)
Keyphrases
- clustering algorithm
- k means
- clustering method
- data clustering
- hierarchical clustering
- clustering analysis
- spectral clustering
- fuzzy clustering
- cluster analysis
- clustering approaches
- clustering scheme
- document clustering
- clustering result
- overlapping clusters
- incremental clustering
- subspace clustering
- density based clustering
- denoising
- spatial clustering
- text clustering
- hierarchical clustering algorithm
- affinity propagation
- fuzzy c means
- agglomerative hierarchical clustering
- unsupervised clustering
- image denoising
- constrained clustering
- graph clustering
- clustering framework
- clustering quality
- arbitrary shape
- cluster centers
- graph partitioning
- agglomerative clustering
- categorical data
- mixed data
- self organizing maps
- cluster labels
- meaningful clusters