Clustering constrained on linear networks
Ver/ Abrir
Impacto
Scholar |
Otros documentos de la autoría: Martínez, Fabian; Chaudhuri, Somnath; Díaz-Avalos, Carlos; Juan, Pablo; Mateu, Jorge; Mena, Ramsés H.
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/173364
comunitat-uji-handle3:10234/173369
comunitat-uji-handle4:
INVESTIGACIONMetadatos
Título
Clustering constrained on linear networksAutoría
Fecha de publicación
2023Editor
SpringerISSN
1436-3240; 1436-3259Cita bibliográfica
MARTÍNEZ, Asael Fabian, et al. Clustering constrained on linear networks. Stochastic Environmental Research and Risk Assessment, 2023, p. 1-13Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://link.springer.com/article/10.1007/s00477-022-02376-yVersión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
An unsupervised classification method for point events occurring on a geometric network is proposed. The idea relies on
the distributional flexibility and practicality of random partition models to discover the ... [+]
An unsupervised classification method for point events occurring on a geometric network is proposed. The idea relies on
the distributional flexibility and practicality of random partition models to discover the clustering structure featuring
observations from a particular phenomenon taking place on a given set of edges. By incorporating the spatial effect in the
random partition distribution, induced by a Dirichlet process, one is able to control the distance between edges and events,
thus leading to an appealing clustering method. A Gibbs sampler algorithm is proposed and evaluated with a sensitivity
analysis. The proposal is motivated and illustrated by the analysis of crime and violence patterns in Mexico City. [-]
Publicado en
Stochastic Environmental Research and Risk Assessment, 2023, p. 1-13Código del proyecto o subvención
IG100221 | PID2019-107392RB-I00/AEI/10.13039/501100011033
Título del proyecto o subvención
PAPIIT
Derechos de acceso
"This is a post-peer-review, pre-copyedit version of an article published in Stochastic Environmental Research and Risk Assessment. The final authenticated version is available online at: https://doi.org/10.1007/s00477-022-02376-y
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
Aparece en las colecciones
- MAT_Articles [755]
- IMAC_Articles [120]