Uses of Class
org.tribuo.clustering.kmeans.KMeansModel

Packages that use KMeansModel

Package	Description
org.tribuo.clustering.kmeans	Provides a multithreaded implementation of K-Means, with a configurable distance function.

Uses of KMeansModel in org.tribuo.clustering.kmeans

Methods in org.tribuo.clustering.kmeans that return KMeansModel

Modifier and Type	Method	Description
protected KMeansModel	KMeansModel.copy(String newName, ModelProvenance newProvenance)
KMeansModel	KMeansTrainer.train(Dataset<ClusterID> dataset)
KMeansModel	KMeansTrainer.train(Dataset<ClusterID> examples, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)
KMeansModel	KMeansTrainer.train(Dataset<ClusterID> examples, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance, int invocationCount)