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Merge pull request scikit-learn#6705 from mathcass/decomposition_typo
Update decomposition.rst
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doc/modules/decomposition.rst

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@@ -125,7 +125,7 @@ For instance, the following shows 16 sample portraits (centered around
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0.0) from the Olivetti dataset. On the right hand side are the first 16
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singular vectors reshaped as portraits. Since we only require the top
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16 singular vectors of a dataset with size :math:`n_{samples} = 400`
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and :math:`n_{features} = 64 \times 64 = 4096`, the computation time it
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and :math:`n_{features} = 64 \times 64 = 4096`, the computation time is
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less than 1s:
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.. |orig_img| image:: ../auto_examples/decomposition/images/plot_faces_decomposition_001.png

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