A new nature inspired modularity function adapted for unsupervised learning involving spatially embedded networks: A comparative analysis

18 Jul 2020Raj KishoreZohar NussinovKisor Kumar Sahu

Unsupervised machine learning methods can be of great help in many traditional engineering disciplines, where huge amount of labeled data is not readily available or is extremely difficult or costly to generate. Two specific examples include the structure of granular materials and atomic structure of metallic glasses... (read more)

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