Actions
  Run Feature Analysis » History » Revision 7
      « Previous |
    Revision 7/8
      (diff)
      | Next »
    
    Anke Mulder, 06/03/2010 07:06 PM 
    
    
Run Feature Analysis¶
Feature analysis refers to systematic techniques for extracting features from a series of 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).
Feature Analysis Procedures¶
- Spider Coran Classification
 - Xmipp Kerden Self-Organizing Map
 - Xmipp Rotational Kerden Self-Organizing Map
 
Notes, Comments, and Suggestions:¶

<Run Alignment | Run Particle Clustering >
Updated by Anke Mulder over 15 years ago · 8 revisions