ISE PhD course: Applied Multiple Correspondence Analysis (MCA) for the social and human sciences
Multiple Correspondence Analysis (MCA) is a geometric data analysis technique designed to uncover patterns and structures in complex categorical datasets. Rooted in the tradition of French data analysis pioneered in the 1960s by French statistician Jean-Paul Benzécri, MCA represents data as clouds of points in a multidimensional space. The position and distance between these points […]