8000 DOC Fix three typos in manifold documentation (#9990) · scikit-learn/scikit-learn@187b32d · GitHub
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DOC Fix three typos in manifold documentation (#9990)
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doc/modules/manifold.rst

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@@ -533,7 +533,7 @@ the quality of the resulting embedding:
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* maximum number of iterations
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* angle (not used in the exact method)
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The perplexity is defined as :math:`k=2^(S)` where :math:`S` is the Shannon
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The perplexity is defined as :math:`k=2^{(S)}` where :math:`S` is the Shannon
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entropy of the conditional probability distribution. The perplexity of a
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:math:`k`-sided die is :math:`k`, so that :math:`k` is effectively the number of
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nearest neighbors t-SNE considers when generating the conditional probabilities.
@@ -598,8 +598,8 @@ where label regions largely overlap. This is a strong clue that this data can
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be well separated by non linear methods that focus on the local structure (e.g.
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an SVM with a Gaussian RBF kernel). However, failing to visualize well
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separated homogeneously labeled groups with t-SNE in 2D does not necessarily
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implie that the data cannot be correctly classified by a supervised model. It
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might be the case that 2 dimensions are not enough low to accurately represents
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imply that the data cannot be correctly classified by a supervised model. It
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might be the case that 2 dimensions are not low enough to accurately represents
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the internal structure of the data.
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