Appion

h1. 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_

h2. Feature Analysis Procedures

# [[Spider Coran Classification]]

# [[Xmipp Kerden Self-Organizing Map]]

# [[Xmipp Rotational Kerden Self-Organizing Map]]

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[[Run_Alignment|<Run Alignment]] | [[Run Particle Clustering|Run Particle Clustering >]]

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