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Run Particle Clustering » History » Revision 6

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Anke Mulder, 05/18/2010 02:19 PM


Run Particle Clustering

After interimage variance analysis and data reduction procedures done via feature analysis, particles are ordered and summed according to their relative similarity (proximity in reduced multidimensional image point space). Traditional methods include k-means and hierarchical ascendant classification (Frank et. al Journal of Microscopy v150,99-115 (1988)).
h2. Particle Clustering Procedures

  1. Hierarchical or K-means Clustering

<Run Feature Analysis | Ab Initio Reconstruction >


Updated by Anke Mulder over 14 years ago · 6 revisions