1 August 2011, Volume 50, Issue 22, pp. 4246-PDM2;
Feat. pp: PDM1,D1–D26
42 articles
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Clustering is used to isolate and focus the analysis on the data points that lie outside the norm. By identifying outlier data points, we subject them to additional scrutiny with diagnostics not suitable for examining large numbers of points. For details see the paper by Negres et al., pp. D12-D20.
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