Álvarez, M. A.Dafonte, CarlosManteiga, MiniaGarabato, D.Santoveña, RaúlPallas-Quintela, Lara2025-10-152025-10-152025-08Álvarez M, Dafonte C, Manteiga M, Garabato D, Santoveña R, Pallas L. Unsupervised clustering visualisation tool for Gaia DR3. In Machine Learning in Astronomy: Possibilities and Pitfalls. Proceedings of the International Astronomical Union. 2025; 19(S368):98-100. J. McIver, A. Mahabal & C. Fluke, eds. doi:10.1017/S1743921323000716https://hdl.handle.net/2183/45993[Abstract]: The Gaia mission DR3 provides accurate data of around two billion stars in the Galaxy, including a classification based on astronomical classes of objects. In this work we present a web visualization tool to analyze one of the products published in the DR3, the Outlier Analysis Self-Organizing Map.eng© The Author(s)GaiaDR3Self-Organizing MapsVisualizationBig Dataconference outputopen access10.1017/S1743921323000716