Kruskal's Stress is a measure used in multidimensional scaling to assess the goodness-of-fit between the distances among points in a low-dimensional space and the original high-dimensional data. A lower stress value indicates a better representation of the data in the reduced space, aiding in visualizing complex data structures effectively.