Multidimensional scaling (MDS) is a statistical technique used for visualizing the level of similarity or dissimilarity of data points in a multi-dimensional space. By converting complex data into a lower-dimensional representation, MDS helps uncover relationships between items, making it easier to analyze and interpret patterns within the data. It’s particularly valuable in exploring data sets where dimensions can be abstract or difficult to interpret directly.
congrats on reading the definition of Multidimensional Scaling. now let's actually learn it.