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lines changed Original file line number Diff line number Diff line change @@ -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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