Run Feature Analysis » History » Version 4
Anke Mulder, 05/18/2010 03:04 PM
| 1 | 1 | Anke Mulder | h1. Run Feature Analysis |
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| 3 | 4 | Anke Mulder | 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). |
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| 5 | h2. Feature Analysis Procedures |
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| 7 | # [[Spider Coran Classification]] |
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| 8 | # [[Xmipp Kerden Self-Organizing Map]] |
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| 9 | # [[Xmipp Rotational Kerden Self-Organizing Map]] |
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| 14 | ______ |
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| 16 | 3 | Anke Mulder | [[Run_Alignment|<Run Alignment]] | [[Run Particle Clustering|Run Particle Clustering >]] |
| 17 | 1 | Anke Mulder | |
| 18 | ______ |