Pinned Tweet
New guidelines for using t-SNE, and evaluation of prior guidelines. And ✨NEW✨: Auto t-SNE, a neural network system to automatically find good perplexity, learning rate, and exaggeration! 📈
Paper: osf.io/6t5ax/
Blog: twosixtech.com/new-guidance-…
(1/9)
I'm not very active on Mastodon, but then again I'm not very active on Twitter either vis.social/@rpgove
@[email protected] retweeted
The 2022 Symposium on #DataVisualization for #cybersecurity is only 16 days away.
Looking forward to seeing you all on Wednesday, Oct. 19th, 9am - 3:15pm (UTC-5).
If you're attending @ieeevis in @cityofokc you'll find us in the Pinon room
#VizSec #ieeevis
Our team is looking for Fall and Winter #dataviz engineering interns!
Are you interested in building on and leveraging your engineering toolkit to serve mission-driven clients working to make the world a better place?
Then we may have a role for you!👇
graphicacy.com/data-visualiz…
@[email protected] retweeted
A step-by-step guide to improving a chart design by applying WCAG accessibility principles. Finally publishing some of my work at Google with @KentTheHuth! Hoping to release some of our Heatlane code examples soon too smashingmagazine.com/2022/07…
@[email protected] retweeted
The #VizSec 2022 deadline is approaching:
**June, 22 for full, short, and position papers**
Did you know that all past programs & papers are listed on vizsec.org/past/ &
vizsec.dbvis.de/ ?
These are great resources for writing a position paper.
More about that👇🏼🧵
Mathematics, computer programming, engineering, motion, creativity.
This is a linkage-mechanism for converting binary numbers to decimal numbers. Created by 上木 敬士郎/Keishiro Ueki, @KeishiroUeki, bit.ly/3Nme97e
COVID cases are up, so the Biden Admin is making more free COVID tests available -- 8 per household, delivered to your door, free of charge. Just go to COVID.gov. It takes less than 1 minute to order.
Americans can now order up to 8 additional free coronavirus tests from the government online.
How to get them 👇trib.al/gzBeUwz
@[email protected] retweeted
Coming up in a couple hours, I'm presenting our Auto t-SNE work at Vis Meets AI @PacificVis! Interested in #visualization meets #machinelearning?
Watch the presentation! pvis2022.github.io/pvis2022/…
Or read a sneak peak blog post: twosixtech.com/new-guidance-…
For the #tsne #machinelearning #dataviz users: our new guidelines for using t-SNE can help you get better visualizations!
twosixtech.com/new-guidance-…
We'll present this work in 2 weeks at Visualization Meets AI @PacificVis!
New guidelines for using t-SNE, and evaluation of prior guidelines. And ✨NEW✨: Auto t-SNE, a neural network system to automatically find good perplexity, learning rate, and exaggeration! 📈
Paper: osf.io/6t5ax/
Blog: twosixtech.com/new-guidance-…
(1/9)
In summary:
* Use OpenTSNE
* If not using OpenTSNE, use perplexity=16, learning rate=10, exaggeration=1
* Learning rate = n/12 is also good
* Keep perplexity in 2-16, learning rate in 10-640, and exaggeration in 1-8
Our paper has lots more detail! osf.io/6t5ax/
(8/9)
We will present this work on April 11 at Visualization Meets AI, part of @PacificVis. It will appear in a special issue of the Journal of Visual Informatics
vismeetsai.github.io/
(9/9)













