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update README with cluster scoring
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lmcinnes committed May 7, 2016
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Expand Up @@ -78,7 +78,9 @@ to Pandas or NetworkX for further analysis. See the notebook on

The clusterer objects also have an attribute providing cluster membership
strengths, resulting in optional soft clustering (and no further compute
expense)
expense). Finally each cluster also receives a persistence score giving
the stability of the cluster over the range of distance scales present
in the data. This provides a measure of the relative strength of clusters.

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Outlier Detection
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