Dimensionality Reduction
	• mapping multidimensional space into space of fewer dimensions – typically 2D for infovis – keep/explain as much variance as possible – show underlying dataset structure • multidimensional scaling (MDS) – minimize differences between interpoint distances in high and low dimensions