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 of distinct orientations. Due to background noise in single-particle images and uncertainty of molecular orientations, …