Run Particle Clustering » History » Version 11
Anke Mulder, 06/03/2010 07:06 PM
| 1 | 1 | Anke Mulder | h1. Run Particle Clustering |
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| 3 | 10 | Anke Mulder | After [[Run Feature Analysis|feature analysis]], particles are ordered and summed according to their relative similarity (proximity in reduced multidimensional image point space). |
| 4 | 7 | Anke Mulder | |
| 5 | 2 | Anke Mulder | h2. Particle Clustering Procedures |
| 6 | 1 | Anke Mulder | |
| 7 | 2 | Anke Mulder | # [[Hierarchical or K-means Clustering]] |
| 8 | 1 | Anke Mulder | |
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| 10 | 11 | Anke Mulder | h2. Notes, Comments, and Suggestions: |
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| 12 | !http://emg.nysbc.org/attachments/277/Picture_81.png! |
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| 13 | 1 | Anke Mulder | |
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| 15 | ______ |
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| 17 | 9 | Anke Mulder | [[Run Feature Analysis|<Run Feature Analysis]] | [[Ab_Initio_Reconstruction|Ab Initio Reconstruction >]] |
| 18 | 1 | Anke Mulder | |
| 19 | ______ |