Yüklüyor......
Penalized model-based clustering with unconstrained covariance matrices
Clustering is one of the most useful tools for high-dimensional analysis, e.g., for microarray data. It becomes challenging in presence of a large number of noise variables, which may mask underlying clustering structures. Therefore, noise removal through variable selection is necessary. One effecti...
Kaydedildi:
| Asıl Yazarlar: | , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2009
|
| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2867492/ https://ncbi.nlm.nih.gov/pubmed/20463857 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/09-EJS487 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|