5 ms·

Also see the gigantic map - https://iconmap.io https://iconmap.io The blog post is the analysis of the data set, the map is the visualization.

• svdr 5y ago
  I see a lot of repetitions in the map?
  • gurgeous 5y ago
    It's one icon per domain. Try hovering (on desktop) and you'll see that many domains have the same favicon.
    • true_religion 5y ago
      It also works on mobile if you tap the fav icon.
• oehpr 5y ago
  I wonder if there might be a way to map all these using t-SNE to discrete grid locations? Maybe even an autoencoder. I'd love to see what features it could pick out. I don't see their data set though. hmmm. maybe I'll just have to crawl it on my own if I want to do it.
  • lgvld 5y ago
    You can use t-SNE (or even better: UMAP or one of its variation) to create a 2D points cloud, and then use something like RasterFairy [1] to map 2D positions to the cells a grid. It usually works well. [1] https://github.com/Quasimondo/RasterFairy https://github.com/Quasimondo/RasterFairy
  • yboris 5y ago
    side note: instead of t-SNE consider UMAP - provides better results (and it's much faster) https://github.com/lmcinnes/umap https://github.com/lmcinnes/umap
• isoprophlex 5y ago
  Is the dataset available for download? I couldn't immediately find a download to the dataset in the linked article. My hands itch to do some dimension reduction on that data and make some nice plots
  • wiz21c 5y ago
    damn I was thinking about that too :-)
  • nkriege 5y ago
    We'd be happy to share the data. Reach us at help at gurge.com if you're interested.