Package org.carrot2.clustering.lingo

Class LingoClusteringAlgorithm

java.lang.Object

org.carrot2.attrs.AttrComposite

org.carrot2.clustering.lingo.LingoClusteringAlgorithm

All Implemented Interfaces:

AcceptingVisitor, ClusteringAlgorithm

public class LingoClusteringAlgorithm
extends AttrComposite
implements ClusteringAlgorithm

Lingo clustering algorithm. Implementation as described in: Stanisław Osiński, Dawid Weiss: A Concept-Driven Algorithm for Clustering Search Results. IEEE Intelligent Systems, May/June, 3 (vol. 20), 2005, pp. 48—54.

Field Summary

Fields

Modifier and Type	Field	Description
ClusterBuilder	clusterBuilder	Cluster builder, contains attributes determining the structure and labels of clusters produced by the Lingo algorithm.
AttrInteger	desiredClusterCount	Desired cluster count.
TermDocumentMatrixBuilder	matrixBuilder	Term-document matrix builder, contains attributes determining the size and contents of the matrix
TermDocumentMatrixReducer	matrixReducer	Term-document matrix reducer, contains attributes determining the matrix decomposition method to be used during clustering.
static String	NAME
CompletePreprocessingPipeline	preprocessing	Preprocessing pipeline.
AttrString	queryHint	Query hint.
AttrDouble	scoreWeight	Balance between cluster score and size during cluster sorting.

Fields inherited from class org.carrot2.attrs.AttrComposite

attributes

Constructor Summary

Constructors

Constructor	Description
LingoClusteringAlgorithm()

Method Summary

Modifier and Type	Method	Description
<T extends Document> List<Cluster<T>>	cluster(Stream<? extends T> docStream, LanguageComponents languageComponents)	Performs Lingo clustering of documents.
boolean	supports(LanguageComponents languageComponents)

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

Methods inherited from interface org.carrot2.attrs.AcceptingVisitor

accept

Field Detail

NAME

public static final String NAME

See Also:

Constant Field Values

scoreWeight

public AttrDouble scoreWeight

Balance between cluster score and size during cluster sorting. Value equal to 0.0 will cause Lingo to sort clusters based only on cluster size. Value equal to 1.0 will cause Lingo to sort clusters based only on cluster score.

desiredClusterCount

public AttrInteger desiredClusterCount

Desired cluster count. A factor used to calculate the number of clusters based on the number of documents on input. The larger the value, the more clusters will be created. The number of clusters created by the algorithm will be proportionally adjusted to the desired cluster count, but may be different.

preprocessing

public CompletePreprocessingPipeline preprocessing

Preprocessing pipeline.

matrixBuilder

public TermDocumentMatrixBuilder matrixBuilder

Term-document matrix builder, contains attributes determining the size and contents of the matrix

matrixReducer

public TermDocumentMatrixReducer matrixReducer

Term-document matrix reducer, contains attributes determining the matrix decomposition method to be used during clustering.

clusterBuilder

public ClusterBuilder clusterBuilder

Cluster builder, contains attributes determining the structure and labels of clusters produced by the Lingo algorithm.

queryHint

public final AttrString queryHint

Query hint. Query terms used to retrieve documents being clustered. The query is used as a hint to avoid creating trivial clusters consisting only of query words.

Constructor Detail

LingoClusteringAlgorithm

public LingoClusteringAlgorithm()

Method Detail

supports

public boolean supports(LanguageComponents languageComponents)

Specified by:

supports in interface ClusteringAlgorithm

cluster

public <T extends Document> List<Cluster<T>> cluster(Stream<? extends T> docStream,
                                                     LanguageComponents languageComponents)

Performs Lingo clustering of documents.

Specified by:

cluster in interface ClusteringAlgorithm