Visualizing High-Dimensional Spaces
by Daniel Smilkov, Fernanda Viégas, Martin Wattenberg & the Big Picture team
In high-dimensional spaces, this project visualizes data sets. In order to organize a variety of characteristics about people, objects, words, and more, machine learning converts these into data points that are organized in a high-dimensional space. I found this project interesting because it is an applicable and foundational program that could be used for people beyond the art and science fields. A variety of data sets can be explored using this system. The program utilizes pixel recognition which is then clustered by the machine. I find it interesting that the machine is learning something about each item or object that is then used for others to learn.