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Prototype/6_Feature_Neighbors/README.md

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 ### Visualisation of nearest (or even farthest) neighbors and walkthroughs the latent space
 
-We now want to visualize our feature clusters to get an impression of the relationship between the artworks and their positioning in the latent space. There are many possibilities of representation. We start with a selection of related images, and movements through the latent space from one image to another. This option was first seen used by the artist [Mario Klingemann](https://artsexperiments.withgoogle.com/xdegrees/) ([website](http://quasimondo.com/)).
+We now want to visualize our feature clusters to get an impression of the relationship between the artworks and their positioning in the latent space. There are many possibilities of representation. We start with a selection of related images, and movements through the latent space from one image to another – first seen used by the artist [Mario Klingemann](https://artsexperiments.withgoogle.com/xdegrees/) ([website](http://quasimondo.com/)).
 
 The [Notebook](https://github.com/DominikBoenisch/Training-the-Archive/blob/master/Prototype/6_Feature_Neighbors/Feature_Neighbours.ipynb) was made possible with the help of Dr. rer. nat. Thomas Rost.