Shrinkage Clustering: a fast and size-constrained clustering algorithm for biomedical applications

Abstract

Given its ease of implementation, computing efficiency and extensible structure, Shrinkage Clustering can be applied broadly to solve biomedical clustering tasks especially when dealing with large datasets.