A Gentle Explanation of Dimensionality Reduction with t-SNE

Oct. 31, 2018
 
 

t-SNE is one of the most popular dimensionality reduction algorithms, it allows to represent a high-dimensional dataset in a 2 or 3-dimensional space, making it easy to visualize high-dimensional data points. In this post, we explain the algorithm and make a light overview of the math. Together with this post, we wrote a jupyter notebook where we show an example of t-SNE using sklearn and CUDA implementations.

 
 

t-sne; dimensionality reduction; visualization

 
 
 
 
 
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