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Run Feature Analysis » History » Revision 1

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Anke Mulder, 05/18/2010 02:00 PM


Run Feature Analysis

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).

Feature Analysis Procedures

  1. Spider Coran Classification
  2. Xmipp Kerden Self-Organizing Map
  3. Xmipp Rotational Kerden Self-Organizing Map

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Updated by Anke Mulder over 14 years ago · 1 revisions