<p>You just to look at the <a href="https://en.wikipedia.org/wiki/T-distributed_stochastic_neighbor_embedding" rel="nofollow noreferrer">method of T-SNE</a>. It &quot;computes probabilities <span class="math-container">$p_{ij}$</span> that are proportional to the similarity of objects <span class="math-container">${x} _{i}$</span> and <span class="math-container">${x} _{j}$</span>&quot;. This means the same as the sentence that you have already quoted:</p>
<blockquote>
<p>t-SNE (t-distributed Stochastic Neighbor Embedding) <strong>preserves embedding orders via probability distributions</strong>, whereas triplet loss works directly on embedded distances.</p>
</blockquote>

CC BY-SA 4.0
2021-05-08T22:52:00.483Z
2021-05-08T22:52:00.483Z
OmG
<p>According to <a href="https://en.wikipedia.org/wiki/Triplet_loss" rel="nofollow noreferrer">the triplet loss Wikipedia page</a>:</p>
<blockquote>
<p>t-SNE (t-distributed Stochastic Neighbor Embedding) preserves embedding orders via probability distributions, whereas triplet loss works directly on embedded distances.</p>
</blockquote>
<p>I don't understand how does t-SNE preserves embedding order from the description given by its Wikipedia page.</p>
<p>I am trying to understand this claim in order to translate the page into other languages. I don't have a very quick understanding of maths, don't be afraid to explain it as if I was a teenager.</p>

<dimensionality-reduction><embeddings><dimensionality>
How does t-SNE preserves embedding orders?
Revolucion for Monica
# How does t-SNE preserves embedding orders?

(Asked by: username_0 on 2021-05-08)

According to [the triplet loss Wikipedia page](https://en.wikipedia.org/wiki/Triplet_loss):

> t-SNE (t-distributed Stochastic Neighbor Embedding) preserves embedding orders via probability distributions, whereas triplet loss works directly on embedded distances.

I don't understand how does t-SNE preserves embedding order from the description given by its Wikipedia page.

I am trying to understand this claim in order to translate the page into other languages. I don't have a very quick understanding of maths, don't be afraid to explain it as if I was a teenager.

**Tags:** dimensionality-reduction, embeddings, dimensionality


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## 1 answers

### Answer by username_1 on 2021-05-08. Score: 0

You just to look at the [method of T-SNE](https://en.wikipedia.org/wiki/T-distributed_stochastic_neighbor_embedding). It "computes probabilities $p\_{ij}$ that are proportional to the similarity of objects ${x} \_{i}$ and ${x} \_{j}$". This means the same as the sentence that you have already quoted:

> t-SNE (t-distributed Stochastic Neighbor Embedding) **preserves embedding orders via probability distributions**, whereas triplet loss works directly on embedded distances.


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