T-distributed stochastic neighbor embedding: Difference between revisions

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m Details: Clarified where the property of the sum=1 comes from.
Corrected "Van der Maaten" to "van der Maaten"
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Note the above denominator ensures <math>\sum_j p_{j\mid i} = 1</math> for all <math>i</math>.
 
As Vanvan der Maaten and Hinton explained: "The similarity of datapoint <math>x_j</math> to datapoint <math>x_i</math> is the conditional probability, <math>p_{j|i}</math>, that <math>x_i</math> would pick <math>x_j</math> as its neighbor if neighbors were picked in proportion to their probability density under a Gaussian centered at <math>x_i</math>."<ref name=MaatenHinton/>
 
Now define