Actions
Run Feature Analysis » History » Revision 2
« Previous |
Revision 2/8
(diff)
| Next »
Anke Mulder, 05/18/2010 02:02 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¶
- Spider Coran Classification
- Xmipp Kerden Self-Organizing Map
- Xmipp Rotational Kerden Self-Organizing Map
<Particle Alignment | Run Particle Clustering >
Updated by Anke Mulder over 14 years ago · 2 revisions