Package | Description |
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org.hipparchus.clustering |
Clustering algorithms.
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org.hipparchus.clustering.evaluation |
Cluster evaluation methods.
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Modifier and Type | Method | Description |
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ClusterEvaluator<T> |
MultiKMeansPlusPlusClusterer.getClusterEvaluator() |
Returns the
ClusterEvaluator used to determine the "best" clustering. |
Constructor | Description |
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MultiKMeansPlusPlusClusterer(KMeansPlusPlusClusterer<T> clusterer,
int numTrials,
ClusterEvaluator<T> evaluator) |
Build a clusterer.
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Modifier and Type | Class | Description |
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class |
SumOfClusterVariances<T extends Clusterable> |
Computes the sum of intra-cluster distance variances according to the formula:
\] score = \sum\limits_{i=1}^n \sigma_i^2 \]
where n is the number of clusters and \( \sigma_i^2 \) is the variance of
intra-cluster distances of cluster \( c_i \).
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