Run Particle Clustering » History » Version 7
Anke Mulder, 05/18/2010 02:20 PM
| 1 | 1 | Anke Mulder | h1. Run Particle Clustering |
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| 3 | 7 | Anke Mulder | After feature analysis, particles are ordered and summed according to their relative similarity (proximity in reduced multidimensional image point space). Traditional methods include k-means and hierarchical ascendant classification (_Frank et. al Journal of Microscopy v150,99-115 (1988))._ |
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| 5 | 2 | Anke Mulder | h2. Particle Clustering Procedures |
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| 7 | 2 | Anke Mulder | # [[Hierarchical or K-means Clustering]] |
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| 12 | ______ |
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| 14 | 6 | Anke Mulder | [[Run Feature Analysis|<Run Feature Analysis]] | [[Ab Initio Reconstruction |Ab Initio Reconstruction >]] |
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| 16 | ______ |