  In this paper, we review a method for computing and parameterizing the set of
homotopy classes of chain maps between two chain complexes. This is then
applied to finding topologically meaningful maps between simplicial complexes,
which in the context of topological data analysis, can be viewed as an
extension of conventional unsupervised learning methods to simplicial
complexes.

Computational Geometry