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Computing meaningful clusters of nodes is crucial to analyse large networks. In this paper, we apply new clustering methods to improve the computational time. We use the properties of the adjacency matrix to obtain better role extraction. We also def
Externí odkaz:
http://arxiv.org/abs/1702.06154
Autor:
Laurent, Adissa
This thesis, done in collaboration with Cenaero, contributes to the MACOBIO project. It develops a numerical tool modelling the properties of heterogeneous materials based on random field generation and analysing the mechanical responses of the compo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1493::9cb52e3bd0cfad2f3e549bd918ad631d
https://hdl.handle.net/2078.1/thesis:10626
https://hdl.handle.net/2078.1/thesis:10626
Publikováno v:
InTech; Aug2022, Vol. 69 Issue 4, p34-36, 3p
