Unsupervised Cryo-EM Data Clustering through Adaptively Constrained K-Means Algorithm.

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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Bibliographic Details
Main Authors:	Yaofang Xu, Jiayi Wu, Chang-Cheng Yin, Youdong Mao
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2016-01-01
Series:	PLoS ONE
Online Access:	http://europepmc.org/articles/PMC5154524?pdf=render

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