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Questions tagged [tsne]

t-SNE (t-distributed stochastic neighbor embedding) is a technique for dimensionality reduction.

The t-SNE algorithm is a nonlinear dimensionality reduction method, particularly efficient for transforming high-dimensional data into two or three dimension spaces.

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Does nearest neighbour make any sense with t-SNE?

Answers on here have stated that the dimensions in t-SNE are meaningless, and that the distances between points are not a measure of similarity. However, can we say anything about a point based on it's nearest neighbours in t-SNE space? This answer…
geometrikal
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long shape line in tSNE plot

My question is similar to this post: What does the long curve-shape t-SNE mean? but the problem is that my data is not time series, but I also get these long shape line in tSNE plot . I don't know what that means or how I can get rid of that. I…
dalide
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Meaning of curved line shape distribution in t-SNE plot

I have blood test results with 20 features from 170 patients, and trying to predict a categorical disease outcome. The input features are all continuous values except sex (0:male, 1:female) There are no missing values (used imputation for the few…
mahler83
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Why is a 2D->2D tSNE transformation not idempotent (up to random influences)?

My understanding of tSNE is that probability distributions are optimized in a way to maintain Euclidean (by default) distances (on average) when transforming from the input to the output space. If that is the case, when transforming from 2D to…
bers
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