Nonlinear projection is a technique used to reduce the dimensionality of data by mapping it onto a lower-dimensional space in a nonlinear fashion, preserving important structures and relationships. This approach is particularly useful for visualizing complex, high-dimensional datasets in a way that highlights patterns not easily discernible in the original space.