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)
static KMeansModel	KMeansModel.deserializeFromProto(int version, String className, com.google.protobuf.Any message)	Deserialization factory.
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)