Metric Multidimensional Scaling (MDS) is a statistical technique used to visualize the level of similarity or dissimilarity of data in a low-dimensional space. It aims to preserve the pairwise distances between data points as accurately as possible, making it a powerful tool for exploratory data analysis and pattern recognition.