Multiimensional scaling (MDS) is a set of related statistical techniques often used in data visualization for exploring similarities or dissimilarities in data. MDS is a special case of ordination. An MDS algorithm starts with a matrix of item–item similarities, then assigns a location of each item in a low-dimensional space, suitable for graphing or 3D visualisation.