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Sparse Clustering with Resampling for Subject Classification in PET Amyloid Imaging Studies
Sparse k-means clustering (Sparse_kM) can exclude uninformative variables and yield reliable parsimonious clustering results, especially for p≫n. In this work, Sparse_kM and data resampling were combined to identify variables of greatest interest and define confidence levels for the clustering. The...
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| Main Authors: | , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2011
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4209405/ https://ncbi.nlm.nih.gov/pubmed/25356069 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/NSSMIC.2011.6152564 |
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