Non-metric Multidimensional Scaling (MDS) is a dimensionality reduction technique that seeks to preserve the rank order of dissimilarities between data points rather than their exact distances. It is particularly useful when the data's dissimilarities are ordinal and not suitable for metric scaling, focusing on maintaining the relative ordering of distances in a lower-dimensional space.