  In this paper,we develop a local-to-global and measure-theoretical approach
to understand datasets. The idea is to take network models with restricted
domains as local charts of datasets. We develop the mathematical foundations
for these structures, and show in experiments how it can be used to find fuzzy
domains and to improve accuracy in data classification problems.
