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Results tagged with tsne
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user 7828
T-distributed stochastic neighbor embedding (t-SNE) is a nonlinear dimensionality reduction algorithm introduced by van der Maaten and Hinton in 2008.
22
votes
Are there cases where PCA is more suitable than t-SNE?
https://stats.stackexchange.com/a/249520/7828
is an excellent general answer.
I'd like to focus a bit more on your problem. You apparently want to see how your samples relate with respect to your 7 …
- 42.9k
3
votes
Why does larger perplexity tend to produce clearer clusters in t-SNE?
I believe this is because of this mismatch in t-SNE between the input (Gaussian) and output (student-t) distributions. It is beneficial to make such blobs in order to separate from everything else as …
- 42.9k
4
votes
PCA too slow when both n,p are large: Alternatives?
But have you tried if the fast Barnes Hut tSNE implementations in ELKI will maybe just work on your data with an index such as cover tree? I've had that implementation work well when others failed. …
- 42.9k
3
votes
DBSCAN considers all data points noise for reduced time series data
Epsilon is a distance. If the distances between your objects are much larger than 1, you will need to choose larger values. For example, when clustering tweet locations, you may want epsilon to be la …
- 42.9k
0
votes
Is there a way to reduce high-dimensional feature space to an array of 2d tSNEs ordered alon...
You can trivially modify the tSNE algorithm to add a third (fixed) dimension, and have it only optimize the x and y as before. …
- 42.9k
3
votes
Accepted
How is Student's t-distribution related with this similarity/probability equation between da...
Note that for $\nu=1$ the PDF becomes
$$f(t)\propto C \cdot (1+t^2)^{-1}$$
With a scaling term $C=\frac{\Gamma(1)}{\sqrt{\pi}\cdot\Gamma\left(\tfrac12\right)}$ independent of t that will eventually …
- 42.9k