Uses of Class cc.mallet.cluster.Clustering (Mallet 2 API)

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

Methods in cc.mallet.cluster with parameters of type Clustering
Modifier and Type	Method	Description
`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.
`boolean`	GreedyAgglomerative.`converged(Clustering clustering)`
`boolean`	GreedyAgglomerativeByDensity.`converged(Clustering clustering)`
`abstract boolean`	HillClimbingClusterer.`converged(Clustering clustering)`
`protected double`	GreedyAgglomerative.`getScore(Clustering clustering, int i, int j)`
`Clustering`	GreedyAgglomerative.`improveClustering(Clustering clustering)`	For each pair of clusters, calculate the score of the `Neighbor` that would result from merging the two clusters.
`Clustering`	GreedyAgglomerativeByDensity.`improveClustering(Clustering clustering)`
`abstract Clustering`	HillClimbingClusterer.`improveClustering(Clustering clustering)`
`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
Constructor	Description
`Clusterings(Clustering[] clusterings)`

Uses of Clustering in cc.mallet.cluster.clustering_scorer

Methods in cc.mallet.cluster.clustering_scorer with parameters of type Clustering
Modifier and Type	Method	Description
`double`	ClusteringScorer.`score(Clustering clustering)`
`double`	PairwiseScorer.`score(Clustering clustering)`

Uses of Clustering in cc.mallet.cluster.evaluate

Methods in cc.mallet.cluster.evaluate with parameters of type Clustering
Modifier and Type	Method	Description
`java.lang.String`	AccuracyEvaluator.`evaluate(Clustering truth, Clustering predicted)`
`java.lang.String`	BCubedEvaluator.`evaluate(Clustering truth, Clustering predicted)`
`java.lang.String`	ClusteringEvaluator.`evaluate(Clustering[] truth, Clusterer clusterer)`
`java.lang.String`	ClusteringEvaluator.`evaluate(Clustering[] truth, Clustering[] predicted)`
`abstract java.lang.String`	ClusteringEvaluator.`evaluate(Clustering truth, Clustering predicted)`
`java.lang.String`	ClusteringEvaluators.`evaluate(Clustering truth, Clustering predicted)`
`java.lang.String`	MUCEvaluator.`evaluate(Clustering truth, Clustering predicted)`
`java.lang.String`	PairF1Evaluator.`evaluate(Clustering truth, Clustering predicted)`
`double[]`	AccuracyEvaluator.`getEvaluationScores(Clustering truth, Clustering predicted)`
`double[]`	BCubedEvaluator.`getEvaluationScores(Clustering truth, Clustering predicted)`
`abstract double[]`	ClusteringEvaluator.`getEvaluationScores(Clustering truth, Clustering predicted)`
`double[]`	ClusteringEvaluators.`getEvaluationScores(Clustering truth, Clustering predicted)`
`double[]`	MUCEvaluator.`getEvaluationScores(Clustering truth, Clustering predicted)`
`double[]`	PairF1Evaluator.`getEvaluationScores(Clustering truth, Clustering predicted)`

Uses of Clustering in cc.mallet.cluster.iterator

Fields in cc.mallet.cluster.iterator declared as Clustering
Modifier and Type	Field	Description
`protected Clustering`	NeighborIterator.`clustering`

Methods in cc.mallet.cluster.iterator that return Clustering
Modifier and Type	Method	Description
`protected Clustering`	NeighborIterator.`getClustering()`

Constructors in cc.mallet.cluster.iterator with parameters of type Clustering
Constructor	Description
`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
Modifier and Type	Method	Description
`Clustering`	Neighbor.`getModified()`
`Clustering`	Neighbor.`getOriginal()`

Constructors in cc.mallet.cluster.neighbor_evaluator with parameters of type Clustering
Constructor	Description
`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
Modifier and Type	Method	Description
`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
Modifier and Type	Method	Description
`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)`