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dc.contributor.authorVillegas Barahona, Greibin
dc.contributor.authorMartín Barreiro, Carlos Manuel
dc.contributor.authorGonzález García, Nerea 
dc.contributor.authorHernández González, Sergio
dc.contributor.authorSánchez Barba, Mercedes 
dc.contributor.authorGalindo Villardón, Purificación
dc.identifier.citationBarahona, G. V., Barreiro, C. M. M., García, N. G., Gonzalez, S. H., Barba, M. S., & Villardon, M. P. G. (2019). DYNAMIC CUR, AN ALTERNATIVE TO VARIABLE SELECTION IN CUR DECOMPOSITION. Investigación Operacional, 40(3), 391-400.es_ES
dc.description.abstract[EN]CUR decomposition is one of the matrix decomposition techniques proposed in the literature for the selection of rows and/or columns of a data matrix. Dynamic CUR is proposed as an alternative to the selection criteria of the CUR decomposition based on probabilistic criteria. This alternative tries to fit the most adequate theoretical probability distribution to the empirical distribution of the leverages obtained from the start and based on it, automatically determines not only the individuals and/or variables that need to be selected, but also their numbers. In this way, Dynamic CUR sets itself apart from CUR in the information selection criteria, dynamizing the calculation of the approximation error starting from an optimal initial selection of parameters based on the most adequate probability distribution. Lastly, with the purpose of facilitating the use of this new method in any practical context, the Dynamic CUR algorithm has been developed in C#.NET and R languages.es_ES
dc.publisherLa Habana: Departamento de Matemática Aplicada Facultad de Matemática y Computación Universidad de La Habanaes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.subjectMultivariate analysises_ES
dc.subjectPrincipal component analysises_ES
dc.subjectCUR decompositiones_ES
dc.subjectSingular value decompositiones_ES
dc.titleDynamic CUR, an alternative to variable selection in CUR decomposition.es_ES
dc.journal.titleInvestigación Operacionales_ES

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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional