Run Feature Analysis » History » Revision 2
Revision 1 (Anke Mulder, 05/18/2010 02:00 PM) → Revision 2/8 (Anke Mulder, 05/18/2010 02:02 PM)
h1. 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). h2. Feature Analysis Procedures # [[Spider Coran Classification]] # [[Xmipp Kerden Self-Organizing Map]] # [[Xmipp Rotational Kerden Self-Organizing Map]] ______ [[Particle_Alignment|<Particle Alignment]] | [[Run Particle Clustering|Run Particle Clustering Feature Analysis|Run Feature Analysis >]] ______