The Wikipedia corpus is one of the favorite datasets of the machine learning community. It is often used for experimenting, benchmarking and providing how-to examples. These experiments are generally presented separate from the Wikipedia user interface, however, which has remained true to the early hypertext vision of the web. For this experiment, Encartopedia, I used machine learning techniques and visualization to explore new navigation possibilities for Wikipedia while preserving its hypertextual feel. With Encartopedia, you can map the path of any journey through Wikipedia, or use the visualization to jump to articles near and far.