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DOC fix typo (#8560)
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doc/modules/outlier_detection.rst

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@@ -107,7 +107,7 @@ points, ignoring points outside the central mode.
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For instance, assuming that the inlier data are Gaussian distributed, it
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will estimate the inlier location and covariance in a robust way (i.e.
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whithout being influenced by outliers). The Mahalanobis distances
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without being influenced by outliers). The Mahalanobis distances
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obtained from this estimate is used to derive a measure of outlyingness.
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This strategy is illustrated below.
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