Python sklearn.cluster Module

This page shows the popular functions and classes defined in the sklearn.cluster 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. KMeans()    
  Used in 341 projects
• 2. DBSCAN    
  Used in 79 projects
• 3. MiniBatchKMeans()    
  Used in 51 projects
• 4. AgglomerativeClustering()    
  Used in 46 projects
• 5. SpectralClustering()    
  Used in 31 projects
• 6. MeanShift()    
  Used in 29 projects
• 7. AffinityPropagation()    
  Used in 17 projects
• 8. Birch()    
  Used in 17 projects
• 9. estimate_bandwidth()    
  Used in 15 projects
• 10. affinity_propagation()    
  Used in 8 projects
• 11. k_means()    
  Used in 7 projects
• 12. spectral_clustering()    
  Used in 7 projects
• 13. FeatureAgglomeration()    
  Used in 5 projects