Shrinkage Clustering: a fast and size-constrained clustering algorithm for biomedical applications
Abstract Background Many common clustering algorithms require a two-step process that limits their efficiency. The algorithms need to be performed repetitively and need to be implemented together with a model selection criterion. These two steps are needed in order to determine both the number of cl...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2018-01-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12859-018-2022-8 |