Appion

h1. Run Feature Analysis

Feature analysis refers to systematic techniques for extracting features from a series of [[Run_Alignment| aligned 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]]

h2. Notes, Comments, and Suggestions:

!http://emg.nysbc.org/attachments/277/Picture_81.png!

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

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