palette2vec: A new way to explore color palettes
This talk shows what happens when we take one step further into explorability. Using handcrafted color features, dimensionality reduction, and interactive tools will we create and explore a color palette embedding.
There are many palettes available in various R packages. Having a way to explore all of these palettes are already found within the https://github.com/EmilHvitfeldt/r-color-palettes repository and the {paletteer} package.
This talk shows what happens when we take one step further into explorability. Using handcrafted color features, dimensionality reduction, and interactive tools will we create and explore a color palette embedding. In this embedded space will we interactively be able to cluster palettes, find neighboring palettes, and even generate new palettes in a whole new way. The Package in question is: https://github.com/EmilHvitfeldt/palette2vec