Run Feature Analysis » History » Revision 5
Revision 4 (Anke Mulder, 05/18/2010 03:04 PM) → Revision 5/8 (Anke Mulder, 05/18/2010 06:13 PM)
h1. Run Feature Analysis
Feature analysis refers to systematic techniques for extracting features from a series of [[Run_Alignment| Aligned]] images or particles with the intent of clustering images with with similar features together. Feature anaylsis is closely related to multivariate statistics . All of these feature analysis techniques fall into two categories: principal component analysis (PCA) (Spider Coran and IMAGIC MSA) and neural networks (Xmipp KerDen SOM).
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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