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## Clustering quality indices
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[`clustering_quality()`][@ref clustering_quality] methods allow computing *intrinsic* clustering quality indices,
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[`clustering_quality()`](@ref clustering_quality) methods allow computing *intrinsic* clustering quality indices,
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i.e. the metrics that depend only on the clustering itself and do not use the external knowledge.
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These metrics can be used to compare different clustering algorithms or choose the optimal number of clusters.
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silhouettes
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```
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[`clustering_quality(..., quality_index=:silhouettes)`][@ref clustering_quality]
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[`clustering_quality(..., quality_index=:silhouettes)`](@ref clustering_quality)
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provides mean silhouette metric for the datapoints. Higher values indicate better quality.
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## References

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