Wordt geladen...
Stochastic convex sparse principal component analysis
Principal component analysis (PCA) is a dimensionality reduction and data analysis tool commonly used in many areas. The main idea of PCA is to represent high-dimensional data with a few representative components that capture most of the variance present in the data. However, there is an obvious dis...
Bewaard in:
| Gepubliceerd in: | EURASIP J Bioinform Syst Biol |
|---|---|
| Hoofdauteurs: | , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Springer International Publishing
2016
|
| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5018037/ https://ncbi.nlm.nih.gov/pubmed/27660635 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13637-016-0045-x |
| Tags: |
Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
|