Multidimensional Scaling

Multidimensional Scaling (MDS) is a statistical technique used to visualize the similarities or differences between objects in a multi-dimensional space. Imagine you have a collection of items—like movies or products—and you want to see how similar they are based on certain characteristics (like genre or price). MDS takes data about these similarities and translates them into a spatial map, where closer points indicate greater similarity. This helps researchers and decision-makers understand complex relationships and patterns, revealing insights that aren’t easily seen through raw data alone.