Classification: Difference between revisions
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Created page with "''Dynamo'' includes two main different approaches for classification. * PCA + k-means * Multireference analysis (MRA) PCA is used for clas..." |
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* Multireference analysis (MRA) | * Multireference analysis (MRA) | ||
[[Principal component analysis|PCA]] is used for classification of an already aligned data set. It typically scales well up to ~10k subvolumes. [[Multireference Analysis|MRA]] is more time consuming, but it performs simultaneous classification and alignment. | |||
[[Principal component analysis|PCA]] is used for classification of an already aligned data set. [[Multireference Analysis|MRA]] is more time consuming, but it performs simultaneous classification and alignment. | |||
Latest revision as of 10:47, 22 March 2016
Dynamo includes two main different approaches for classification.
- PCA + k-means
- Multireference analysis (MRA)
PCA is used for classification of an already aligned data set. It typically scales well up to ~10k subvolumes. MRA is more time consuming, but it performs simultaneous classification and alignment.