Name | Description | Type | Package | Framework |
AccuracyEvaluator | Accuracy of a clustering is (truePositive + trueNegative) / (numberPairwiseComparisons)Constructor SummaryAccuracyEvaluator() | Class | cc.mallet.cluster.evaluate | Mallet |
AgglomerativeNeighbor | A Neighbor created by merging two clusters of the originalSince:1. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
AllPairsIterator | Iterate over all pairs of Instances. | Class | cc.mallet.cluster.iterator | Mallet |
BCubedEvaluator | Evaluate a Clustering using the B-Cubed evaluation metric. | Class | cc.mallet.cluster.evaluate | Mallet |
ClassifyingNeighborEvaluator | A NeighborEvaluator that is backed by a Classifier. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
Clusterer | An abstract class for clustering a set of points. | Class | cc.mallet.cluster | Mallet |
Clustering | Class | cc.mallet.cluster | Mallet | |
ClusteringEvaluator | Evaluates a predicted Clustering against a true Clustering. | Class | cc.mallet.cluster.evaluate | Mallet |
ClusteringEvaluators | A list of ClusteringEvaluators. | Class | cc.mallet.cluster.evaluate | Mallet |
Clusterings | Class | cc.mallet.cluster | Mallet | |
Clusterings2Clusterer | Class | cc.mallet.cluster.tui | Mallet | |
Clusterings2Clusterer .ClusteringPipe | See Also:Serialized FormConstructor SummaryClusterings2Clusterer. | Class | cc.mallet.cluster.tui.Clusterings2Clusterer | Mallet |
Clusterings2Clusterings | Class | cc.mallet.cluster.tui | Mallet | |
Clusterings2Info | Class | cc.mallet.cluster.tui | Mallet | |
ClusteringScorer | Interface | cc.mallet.cluster.clustering_scorer | Mallet | |
ClusterSampleIterator | Sample clusters of Instances. | Class | cc.mallet.cluster.iterator | Mallet |
ClusterUtils | Utility functions for Clusterings. | Class | cc.mallet.cluster.util | Mallet |
FirstOrderClusterExample | Illustrates use of a supervised clustering method that uses features over clusters. | Class | cc.mallet.cluster.examples | Mallet |
GreedyAgglomerative | Greedily merges Instances until convergence. | Class | cc.mallet.cluster | Mallet |
GreedyAgglomerativeByDensity | Greedily merges Instances until convergence. | Class | cc.mallet.cluster | Mallet |
HillClimbingClusterer | A Clusterer that iteratively improves a predicted Clustering using a NeighborEvaluator. | Class | cc.mallet.cluster | Mallet |
KBestClusterer | Return the K best predicted ClusteringsAuthor:culottaSee Also:Serialized Form | Class | cc.mallet.cluster | Mallet |
KMeans | Clusters the points into k clusters by minimizing the total intra-cluster variance. | Class | cc.mallet.cluster | Mallet |
MedoidEvaluator | Uses a Classifier over pairs of Instances to score Neighbor. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
MedoidEvaluator .Average | Constructor SummaryMedoidEvaluator. | Class | cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator | Mallet |
MedoidEvaluator .CombiningStrategy | Specifies how to combine a set of pairwise scores into a cluster-wise score. | Interface | cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator | Mallet |
MedoidEvaluator .Maximum | Constructor SummaryMedoidEvaluator. | Class | cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator | Mallet |
MedoidEvaluator .Minimum | Constructor SummaryMedoidEvaluator. | Class | cc.mallet.cluster.neighbor_evaluator.MedoidEvaluator | Mallet |
MUCEvaluator | Evaluate a Clustering using the MUC evaluation metric. | Class | cc.mallet.cluster.evaluate | Mallet |
Neighbor | A Clustering and a modified version of that Clustering. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
NeighborEvaluator | Scores the value of changing the current Clustering to the modified Clustering specified in a Neighbor object. | Interface | cc.mallet.cluster.neighbor_evaluator | Mallet |
NeighborIterator | Sample Instances with data objects equal to Neighbors. | Class | cc.mallet.cluster.iterator | Mallet |
NodeClusterSampleIterator | Samples merges of a singleton cluster with another (possibly non-singleton) cluster. | Class | cc.mallet.cluster.iterator | Mallet |
PairF1Evaluator | Evaluates two clustering using pairwise comparisons. | Class | cc.mallet.cluster.evaluate | Mallet |
PairSampleIterator | Sample pairs of Instances. | Class | cc.mallet.cluster.iterator | Mallet |
PairwiseEvaluator | Uses a Classifier over pairs of Instances to score Neighbor. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
PairwiseEvaluator .Average | See Also:Serialized FormConstructor SummaryPairwiseEvaluator. | Class | cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator | Mallet |
PairwiseEvaluator .CombiningStrategy | Specifies how to combine a set of pairwise scores into a cluster-wise score. | Interface | cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator | Mallet |
PairwiseEvaluator .Maximum | See Also:Serialized FormConstructor SummaryPairwiseEvaluator. | Class | cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator | Mallet |
PairwiseEvaluator .Minimum | See Also:Serialized FormConstructor SummaryPairwiseEvaluator. | Class | cc.mallet.cluster.neighbor_evaluator.PairwiseEvaluator | Mallet |
PairwiseMatrix | 2-D upper-triangular matrix. | Class | cc.mallet.cluster.util | Mallet |
PairwiseScorer | For each pair of Instances, if the pair is predicted to be in the same cluster, increment the total by the evaluator's score for merging the two. | Class | cc.mallet.cluster.clustering_scorer | Mallet |
RandomEvaluator | Randomly scores Neighbors. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
RankingNeighborEvaluator | Uses a Classifier that scores an array of Neighbors. | Class | cc.mallet.cluster.neighbor_evaluator | Mallet |
Record | Class | cc.mallet.cluster | Mallet | |
TestClusteringEvaluators | Examples drawn from Luo, "On Coreference Resolution Performance Metrics", HLT 2005. | Class | cc.mallet.cluster.evaluate.tests | Mallet |
TestIterators | Class | cc.mallet.cluster.iterator.tests | Mallet | |
Text2Clusterings | Class | cc.mallet.cluster.tui | Mallet | |