  We adapt concepts, methodology, and theory originally developed in the areas
of multidimensional scaling and dimensionality reduction for multivariate data
to the functional setting. We focus on classical scaling and Isomap --
prototypical methods that have played important roles in these area -- and
showcase their use in the context of functional data analysis. In the process,
we highlight the crucial role that the ambient metric plays.
