ClusterBuilder (Carrot2, Public Java API v4.0.0 (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 Detail
  - 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 Detail
  - ClusterBuilder
```
public ClusterBuilder()
```