|
|||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
Interface Summary | |
---|---|
LDAOptimizer | :: DeveloperApi :: |
Class Summary | |
---|---|
DistributedLDAModel | :: Experimental :: |
EMLDAOptimizer | :: DeveloperApi :: |
ExpectationSum | |
GaussianMixture | :: Experimental :: |
GaussianMixtureModel | :: Experimental :: |
KMeans | K-means clustering with support for multiple parallel runs and a k-means++ like initialization mode (the k-means|| algorithm by Bahmani et al). |
KMeansModel | A clustering model for K-means. |
LDA | :: Experimental :: |
LDAModel | :: Experimental :: |
LocalLDAModel | :: Experimental :: |
OnlineLDAOptimizer | :: DeveloperApi :: |
PowerIterationClustering | |
PowerIterationClustering.Assignment | :: Experimental :: Cluster assignment. |
PowerIterationClustering.Assignment$ | |
PowerIterationClusteringModel | :: Experimental :: |
StreamingKMeans | :: Experimental :: |
StreamingKMeansModel | :: Experimental :: |
|
|||||||||
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |