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 ...
Invariant distances lie at the heart of complex geometry, providing intrinsic measures of separation between points in complex manifolds that remain unchanged under biholomorphic mappings. Chief ...
Distance geometry provides a mathematical framework for reconstructing spatial structures by leveraging inter-point distances as constraints. Originally developed for molecular conformation, it has ...
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