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Run Feature Analysis » History » Version 4

Anke Mulder, 05/18/2010 03:04 PM

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h1. Run Feature Analysis
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Feature analysis refers to systematic techniques for extracting features from a series of 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). 
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h2. Feature Analysis Procedures
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# [[Spider Coran Classification]]
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# [[Xmipp Kerden Self-Organizing Map]]
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# [[Xmipp Rotational Kerden Self-Organizing Map]]
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[[Run_Alignment|<Run Alignment]] | [[Run Particle Clustering|Run Particle Clustering >]]
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