In this work, spectral clustering of asymmetric data is addressed. In particular, two different methods to perform clustering have been compared: the application of spectral clustering on directed graphs represented by an asymmetric matrix; and the application of the classical spectral clustering algorithm once transformed the directed graph into an undirected one. To this end, some symmetrizations are described to convert the directed graph to an undirected one.
Asymmetric spectral clustering: a comparison between symmetrizations / Di Nuzzo, Cinzia; Vicari, Donatella. - (2022), pp. 1510-1515. (Intervento presentato al convegno 51st Scientific Meeting of the Italian Statistical Society, SIS2022 tenutosi a Caserta (Italy)).
Asymmetric spectral clustering: a comparison between symmetrizations
Di Nuzzo, Cinzia
;Vicari, Donatella
2022
Abstract
In this work, spectral clustering of asymmetric data is addressed. In particular, two different methods to perform clustering have been compared: the application of spectral clustering on directed graphs represented by an asymmetric matrix; and the application of the classical spectral clustering algorithm once transformed the directed graph into an undirected one. To this end, some symmetrizations are described to convert the directed graph to an undirected one.| File | Dimensione | Formato | |
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