org.apache.solr.client.solrj.response

Class Cluster

java.lang.Object

org.apache.solr.client.solrj.response.Cluster

public class Cluster
extends Object

This class represents a cluster of Solr Docs .

Constructor Summary

Constructors

Constructor and Description
Cluster(List<String> labels, double score, List<String> docIds)
Cluster(List<String> labels, double score, List<String> docIds, List<Cluster> subclusters, boolean otherTopics)

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object o)
List<String>	getDocs()
List<String>	getLabels()
double	getScore()
List<Cluster>	getSubclusters()
int	hashCode()
boolean	isOtherTopics()
void	setDocs(List<String> docIds)
void	setLabels(List<String> labels)
void	setScore(double score)

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Cluster

public Cluster(List<String> labels,
               double score,
               List<String> docIds)

Cluster

public Cluster(List<String> labels,
               double score,
               List<String> docIds,
               List<Cluster> subclusters,
               boolean otherTopics)

Parameters:

labels - the list of human readable labels associated to the cluster

score - the score produced by the clustering algorithm for the current cluster

docIds - the list of document Ids belonging to the cluster

Method Detail

equals

public boolean equals(Object o)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

getLabels

public List<String> getLabels()

setLabels

public void setLabels(List<String> labels)

getScore

public double getScore()

setScore

public void setScore(double score)

getDocs

public List<String> getDocs()

setDocs

public void setDocs(List<String> docIds)

getSubclusters

public List<Cluster> getSubclusters()

isOtherTopics

public boolean isOtherTopics()

Returns:

If true, the cluster contains references to documents that are not semantically associated and form a group of documents not related to any other cluster (or themselves).