Bayesian biclustering by dynamics: Algorithm testing, comparison against random agglomeration, and calculation of application specific prior information

Bayesian Biclustering by Dynamics (BBCD) is a new clustering algorithm for Steam-Assisted Gravity Drainage (SAGD) oil recovery time series data [1] • It includes background knowledge directly into the clustering process. • It finds similarity between series and over time. • It allows a user-specifie...

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Detalles Bibliográficos
Autores principales: Pinto, Helen, Gates, Ian, Wang, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Energy
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7199012/
https://www.ncbi.nlm.nih.gov/pubmed/32382523
http://dx.doi.org/10.1016/j.mex.2020.100897
Descripción
Sumario:Bayesian Biclustering by Dynamics (BBCD) is a new clustering algorithm for Steam-Assisted Gravity Drainage (SAGD) oil recovery time series data [1] • It includes background knowledge directly into the clustering process. • It finds similarity between series and over time. • It allows a user-specified definition for behaviour of interest, which relaxes dependency on series shape. This is important when similar behavioural events do not necessarily occur in the same temporal order.

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