Run Particle Clustering » History » Revision 8
Revision 7 (Anke Mulder, 05/18/2010 02:20 PM) → Revision 8/12 (Anke Mulder, 05/18/2010 04:18 PM)
h1. Run Particle Clustering
After 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
# [[Hierarchical or K-means Clustering]]
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[[Run Feature Analysis|<Run Feature Analysis]] | [[Ab Initio Reconstruction |Ab Initio Reconstruction >]]
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