Python sklearn.decomposition Module

This page shows the popular functions and classes defined in the sklearn.decomposition module. The items are ordered by their popularity in 40,000 open source Python projects. If you can not find a good example below, you can try the search function to search modules.

• 1. PCA    
  Used in 371 projects
• 2. TruncatedSVD()    
  Used in 88 projects
• 3. NMF    
  Used in 53 projects
• 4. LatentDirichletAllocation()    
  Used in 30 projects
• 5. KernelPCA()    
  Used in 27 projects
• 6. FastICA()    
  Used in 24 projects
• 7. IncrementalPCA()    
  Used in 18 projects
• 8. FactorAnalysis()    
  Used in 14 projects
• 9. RandomizedPCA()    
  Used in 10 projects
• 10. DictionaryLearning()    
  Used in 9 projects
• 11. SparsePCA()    
  Used in 9 projects
• 12. MiniBatchDictionaryLearning()    
  Used in 7 projects
• 13. MiniBatchSparsePCA()    
  Used in 6 projects
• 14. fastica()    
  Used in 5 projects