This example visualizes 800 city names on a plane, positioned by t-SNE using a weighted Levenshtein distance that compares the first four letters of each name. The positions are colored by a K-means clustering algorithm into 18 groups, highlighting phonetic or orthographic similarities among city names. It uses d3.v4 with `d3.forceSimulation`, `d3.forceCollide`, and `d3.queue` to run t-SNE computations in a worker thread, with the result rendered as an SVG of circles and text. The code is based on the tsnejs library and demonstrates an ongoing work-in-progress, as indicated by the title.