Reducing redundant information to find simplifying patterns in data sets and complex networks is a scientific challenge in many knowledge fields. Moreover, detecting the dimensionality of the data is ...

Reducing redundant information to find simplifying patterns in data sets and complex networks is a scientific challenge in many knowledge fields. Moreover, detecting the dimensionality of the data is ...

Distance geometry provides a mathematical framework for reconstructing spatial structures by leveraging inter-point distances as constraints. Originally developed for molecular conformation, it has ...