multi-dimensional scaling

Multi-dimensional scaling (MDS) is a statistical technique used to visualize the relationships between different items or data points in a lower-dimensional space. Imagine you have a complex map of cities based on their similarities or distances. MDS takes this information and translates it into a simpler visual form, like a 2D or 3D map, where the distance between points reflects how similar or different they are. This helps us to identify patterns, group similar items together, and gain insights from multidimensional data in a more intuitive way.