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## Package cc.mallet.cluster.neighbor_evaluator

Interface Summary
MedoidEvaluator.CombiningStrategy | Specifies how to combine a set of pairwise scores into a cluster-wise score.
NeighborEvaluator | Scores the value of changing the current `Clustering` to the modified `Clustering` specified in a `Neighbor` object.
PairwiseEvaluator.CombiningStrategy | Specifies how to combine a set of pairwise scores into a cluster-wise score.

Class Summary
AgglomerativeNeighbor | A `Neighbor` created by merging two clusters of the original Clustering.
ClassifyingNeighborEvaluator | A `NeighborEvaluator` that is backed by a `Classifier`.
MedoidEvaluator | Uses a `Classifier` over pairs of `Instances` to score `Neighbor`.
MedoidEvaluator.Average |
MedoidEvaluator.Maximum |
MedoidEvaluator.Minimum |
Neighbor | A Clustering and a modified version of that Clustering.
PairwiseEvaluator | Uses a `Classifier` over pairs of `Instances` to score `Neighbor`.
PairwiseEvaluator.Average |
PairwiseEvaluator.Maximum |
PairwiseEvaluator.Minimum |
RandomEvaluator | Randomly scores `Neighbor`s.
RankingNeighborEvaluator | Uses a `Classifier` that scores an array of `Neighbor`s.

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