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Unsupervised Cryo-EM Data Clustering through Adaptively Constrained K-Means Algorithm
In single-particle cryo-electron microscopy (cryo-EM), K-means clustering algorithm is widely used in unsupervised 2D classification of projection images of biological macromolecules. 3D ab initio reconstruction requires accurate unsupervised classification in order to separate molecular projections...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5154524/ https://ncbi.nlm.nih.gov/pubmed/27959895 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0167765 |
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