Uses of Class
cc.mallet.cluster.Clustering

Packages that use Clustering

cc.mallet.cluster	Unsupervised clustering of Instance objects within an InstanceList.
cc.mallet.cluster.clustering_scorer
cc.mallet.cluster.evaluate
cc.mallet.cluster.iterator
cc.mallet.cluster.neighbor_evaluator
cc.mallet.cluster.util

Uses of Clustering in cc.mallet.cluster

Methods in cc.mallet.cluster that return Clustering

Clustering	KMeans.cluster(InstanceList instances) Cluster instances
Clustering	HillClimbingClusterer.cluster(InstanceList instances) While not converged, calls improveClustering to modify the current predicted Clustering.
abstract Clustering	Clusterer.cluster(InstanceList trainingSet) Return a clustering of an InstanceList
Clustering	HillClimbingClusterer.cluster(InstanceList instances, int iterations, Clustering initialClustering) While not converged, call improveClustering to modify the current predicted Clustering.
abstract Clustering[]	KBestClusterer.clusterKBest(InstanceList trainingSet, int k)
Clustering[]	HillClimbingClusterer.clusterKBest(InstanceList instances, int k)
Clustering[]	HillClimbingClusterer.clusterKBest(InstanceList instances, int iterations, Clustering initialClustering, int k) Return the K most recent solutions.
Clustering	Clusterings.get(int i)
abstract Clustering	HillClimbingClusterer.improveClustering(Clustering clustering)
Clustering	GreedyAgglomerativeByDensity.improveClustering(Clustering clustering)
Clustering	GreedyAgglomerative.improveClustering(Clustering clustering) For each pair of clusters, calculate the score of the Neighbor that would result from merging the two clusters.
abstract Clustering	HillClimbingClusterer.initializeClustering(InstanceList instances)
Clustering	GreedyAgglomerative.initializeClustering(InstanceList instances)
Clustering	Clustering.shallowCopy()

Methods in cc.mallet.cluster with parameters of type Clustering

Clustering	HillClimbingClusterer.cluster(InstanceList instances, int iterations, Clustering initialClustering) While not converged, call improveClustering to modify the current predicted Clustering.
Clustering[]	HillClimbingClusterer.clusterKBest(InstanceList instances, int iterations, Clustering initialClustering, int k) Return the K most recent solutions.
abstract boolean	HillClimbingClusterer.converged(Clustering clustering)
boolean	GreedyAgglomerativeByDensity.converged(Clustering clustering)
boolean	GreedyAgglomerative.converged(Clustering clustering)
protected double	GreedyAgglomerative.getScore(Clustering clustering, int i, int j)
abstract Clustering	HillClimbingClusterer.improveClustering(Clustering clustering)
Clustering	GreedyAgglomerativeByDensity.improveClustering(Clustering clustering)
Clustering	GreedyAgglomerative.improveClustering(Clustering clustering) For each pair of clusters, calculate the score of the Neighbor that would result from merging the two clusters.
void	Clusterings.set(int i, Clustering clustering)
protected void	GreedyAgglomerative.updateScoreMatrix(Clustering clustering, int i, int j) Resets the values of clusters that have been merged.

Constructors in cc.mallet.cluster with parameters of type Clustering

Clusterings(Clustering[] clusterings)

Uses of Clustering in cc.mallet.cluster.clustering_scorer

Methods in cc.mallet.cluster.clustering_scorer with parameters of type Clustering

double	PairwiseScorer.score(Clustering clustering)
double	ClusteringScorer.score(Clustering clustering)

Uses of Clustering in cc.mallet.cluster.evaluate

Methods in cc.mallet.cluster.evaluate with parameters of type Clustering

java.lang.String	ClusteringEvaluator.evaluate(Clustering[] truth, Clusterer clusterer)
java.lang.String	ClusteringEvaluator.evaluate(Clustering[] truth, Clustering[] predicted)
java.lang.String	ClusteringEvaluator.evaluate(Clustering[] truth, Clustering[] predicted)
java.lang.String	PairF1Evaluator.evaluate(Clustering truth, Clustering predicted)
java.lang.String	MUCEvaluator.evaluate(Clustering truth, Clustering predicted)
java.lang.String	ClusteringEvaluators.evaluate(Clustering truth, Clustering predicted)
abstract java.lang.String	ClusteringEvaluator.evaluate(Clustering truth, Clustering predicted)
java.lang.String	BCubedEvaluator.evaluate(Clustering truth, Clustering predicted)
java.lang.String	AccuracyEvaluator.evaluate(Clustering truth, Clustering predicted)
double[]	PairF1Evaluator.getEvaluationScores(Clustering truth, Clustering predicted)
double[]	MUCEvaluator.getEvaluationScores(Clustering truth, Clustering predicted)
double[]	ClusteringEvaluators.getEvaluationScores(Clustering truth, Clustering predicted)
abstract double[]	ClusteringEvaluator.getEvaluationScores(Clustering truth, Clustering predicted)
double[]	BCubedEvaluator.getEvaluationScores(Clustering truth, Clustering predicted)
double[]	AccuracyEvaluator.getEvaluationScores(Clustering truth, Clustering predicted)

Uses of Clustering in cc.mallet.cluster.iterator

Fields in cc.mallet.cluster.iterator declared as Clustering

protected Clustering

NeighborIterator.clustering

Methods in cc.mallet.cluster.iterator that return Clustering

protected Clustering

NeighborIterator.getClustering()

Constructors in cc.mallet.cluster.iterator with parameters of type Clustering

AllPairsIterator(Clustering clustering)

ClusterSampleIterator(Clustering clustering, Randoms random, double positiveProportion, int numberSamples)

NeighborIterator(Clustering clustering)

NodeClusterSampleIterator(Clustering clustering, Randoms random, double positiveProportion, int numberSamples)

PairSampleIterator(Clustering clustering, Randoms random, double positiveProportion, int numberSamples)

Uses of Clustering in cc.mallet.cluster.neighbor_evaluator

Methods in cc.mallet.cluster.neighbor_evaluator that return Clustering

Clustering	Neighbor.getModified()
Clustering	Neighbor.getOriginal()

Constructors in cc.mallet.cluster.neighbor_evaluator with parameters of type Clustering

AgglomerativeNeighbor(Clustering original, Clustering modified, int[][] oldClusters)

AgglomerativeNeighbor(Clustering original, Clustering modified, int[] oldCluster1, int[] oldCluster2)

AgglomerativeNeighbor(Clustering original, Clustering modified, int oldCluster1, int oldCluster2)

Neighbor(Clustering original, Clustering modified)

Uses of Clustering in cc.mallet.cluster.util

Methods in cc.mallet.cluster.util that return Clustering

static Clustering	ClusterUtils.copyAndMergeClusters(Clustering clustering, int i, int j)
static Clustering	ClusterUtils.copyAndMergeInstances(Clustering clustering, int[] instances)
static Clustering	ClusterUtils.copyAndMergeInstances(Clustering clustering, int i, int j)
static Clustering	ClusterUtils.copyWithNewLabels(Clustering clustering)
static Clustering	ClusterUtils.createRandomClustering(InstanceList instances, Randoms random)
static Clustering	ClusterUtils.createSingletonClustering(InstanceList instances) Initializes Clustering to one Instance per cluster.
static Clustering	ClusterUtils.mergeClusters(Clustering clustering, int labeli, int labelj) Relabels the clustering to reflect merging clusters i and j.
static Clustering	ClusterUtils.mergeInstances(Clustering clustering, int[] instances) Merge clusters containing the specified instances.
static Clustering	ClusterUtils.mergeInstances(Clustering clustering, int i, int j)
static Clustering	ClusterUtils.mergeInstancesWithSameLabel(Clustering clustering)
static Clustering	ClusterUtils.shatterInstances(Clustering clustering, int[] indices)

Methods in cc.mallet.cluster.util with parameters of type Clustering

static Clustering	ClusterUtils.copyAndMergeClusters(Clustering clustering, int i, int j)
static Clustering	ClusterUtils.copyAndMergeInstances(Clustering clustering, int[] instances)
static Clustering	ClusterUtils.copyAndMergeInstances(Clustering clustering, int i, int j)
static Clustering	ClusterUtils.copyWithNewLabels(Clustering clustering)
static int[]	ClusterUtils.getCombinedInstances(Clustering clustering, int i, int j)
static Clustering	ClusterUtils.mergeClusters(Clustering clustering, int labeli, int labelj) Relabels the clustering to reflect merging clusters i and j.
static Clustering	ClusterUtils.mergeInstances(Clustering clustering, int[] instances) Merge clusters containing the specified instances.
static Clustering	ClusterUtils.mergeInstances(Clustering clustering, int i, int j)
static Clustering	ClusterUtils.mergeInstancesWithSameLabel(Clustering clustering)
static Clustering	ClusterUtils.shatterInstances(Clustering clustering, int[] indices)