Isomap is a nonlinear dimensionality reduction technique that extends Multidimensional Scaling (MDS) by incorporating geodesic distances, making it effective for unfolding complex, nonlinear manifolds. It preserves the intrinsic geometry of the data by approximating the manifold's structure through a graph-based approach, ensuring that the reduced dimensions maintain meaningful relationships between data points.