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Semi-supervised adaptive-height snipping of the hierarchical clustering tree
BACKGROUND: In genomics, hierarchical clustering (HC) is a popular method for grouping similar samples based on a distance measure. HC algorithms do not actually create clusters, but compute a hierarchical representation of the data set. Usually, a fixed height on the HC tree is used, and each conti...
Shranjeno v:
| izdano v: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
BioMed Central
2015
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4302100/ https://ncbi.nlm.nih.gov/pubmed/25592847 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-014-0448-1 |
| Oznake: |
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