Laddar...
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...
Sparad:
| I publikationen: | BMC Bioinformatics |
|---|---|
| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2015
|
| Ämnen: | |
| Länkar: | 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 |
| Taggar: |
Lägg till en tagg
Inga taggar, Lägg till första taggen!
|