Package org.tribuo.clustering.hdbscan

package org.tribuo.clustering.hdbscan

Provides an implementation of HDBSCAN*.

Related Packages

Package	Description
org.tribuo.clustering	Provides classes and infrastructure for working with clustering problems.
org.tribuo.clustering.evaluation	Evaluation classes for clustering.
org.tribuo.clustering.example	Provides clustering data generators used for demos and testing implementations.
org.tribuo.clustering.kmeans	Provides a multithreaded implementation of K-Means, with a configurable distance function.

Class	Description
HdbscanModel	A trained HDBSCAN* model which provides the cluster assignment labels and outlier scores for every data point.
HdbscanOptions	OLCUT Options for the HDBSCAN* implementation.
HdbscanTrainer	An HDBSCAN* trainer which generates a hierarchical, density-based clustering representation of the supplied data.
HdbscanTrainer.ClusterExemplar	A cluster exemplar, with attributes for the point's label, outlier score and its features.
HdbscanTrainer.Distance	Deprecated. This Enum is deprecated in version 4.3, replaced by DistanceType
TrainTest	Build and run a HDBSCAN* clustering model for a standard dataset.
TrainTest.HdbscanCLIOptions	Options for the HDBSCAN* CLI.