ClusterBuilder (Carrot2, Public Java API v4.0.2 (org.carrot2:core))

java.lang.Object

org.carrot2.attrs.AttrComposite

org.carrot2.clustering.lingo.ClusterBuilder

All Implemented Interfaces:: AcceptingVisitor

public class ClusterBuilder
extends AttrComposite

Builds cluster labels based on the reduced term-document matrix and assigns documents to the labels.

Field Summary

Fields
Modifier and Type	Field	Description
`AttrDouble`	`clusterMergingThreshold`	Cluster merging threshold.
`LabelAssigner`	`labelAssigner`	Cluster label assignment method.
`AttrDouble`	`phraseLabelBoost`	Phrase label boost.
`AttrInteger`	`phraseLengthPenaltyStart`	Phrase length penalty start.
`AttrInteger`	`phraseLengthPenaltyStop`	Phrase length penalty stop.

Fields inherited from class org.carrot2.attrs.AttrComposite

attributes

Constructor Summary

Constructors

Constructor Description

ClusterBuilder()
Method Summary

Methods inherited from class org.carrot2.attrs.AttrComposite
accept

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details
- phraseLabelBoost
  
  public AttrDouble phraseLabelBoost
  
  Phrase label boost. The weight of multi-word labels relative to one-word labels. Low values will result in more one-word labels being produced, higher values will favor multi-word labels.
- phraseLengthPenaltyStart
  
  public AttrInteger phraseLengthPenaltyStart
  
  Phrase length penalty start. The phrase length at which the overlong multi-word labels should start to be penalized. Phrases of length smaller than phraseLengthPenaltyStart will not be penalized.
- phraseLengthPenaltyStop
  
  public AttrInteger phraseLengthPenaltyStop
  
  Phrase length penalty stop. The phrase length at which the overlong multi-word labels should be removed completely. Phrases of length larger than phraseLengthPenaltyStop will be removed.
- clusterMergingThreshold
  
  public AttrDouble clusterMergingThreshold
  
  Cluster merging threshold. The percentage overlap between two cluster's documents required for the clusters to be merged into one cluster. Low values will result in more aggressive merging, which may lead to irrelevant documents in clusters. High values will result in fewer clusters being merged, which may lead to very similar or duplicated clusters.
- labelAssigner
  
  public LabelAssigner labelAssigner
  
  Cluster label assignment method.
Constructor Details
- ClusterBuilder
  
  public ClusterBuilder()