2026-05-12T02:18:02Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/102882025-03-06T10:59:37Zcom_10259_4249com_10259_5086com_10259_2604col_10259_10287

DMCEN a MATLAB function to evaluate the entropy improvement provided by a multivariate k-class-model Sánchez Pastor, Mª Sagrario Valencia García, Olga Ruiz Miguel, Santiago Ortiz Fernández, Mª Cruz Sarabia Peinador, Luis Antonio Entropía Modelado de clases Indicador de rendimiento Algoritmos computacionales Computer algorithms El software es una función de MATLAB que calcula un indicador del rendimiento de un modelado de k clases The dmcen.m function allows to compute the Diagonal Modified Confusion Entropy (DMCEN), which assess the performance of class-models jointly computed for k classes. DMCEN is a versatile index regarding sensitivity (capability of each class-model to contain its own objects) and specificity (capability of the each class-model to reject foreign objects). DMCEN develops the idea that a classification model introduces an order in the objects of a dataset, capable of being measured by the decrease in entropy that it entails. A detailed description of the algorithm and its properties for evaluating a k-class-model with respect to other indexes can be seen at: O. Valencia M.C. Ortiz, M.S. Sánchez, L.A. Sarabia, A modified entropy-based performance criterion for class-modelling with multiple classes. Chemometrics and Intelligent Laboratory Systems 217 (2021) 104423. https://doi.org/10.1016/j.chemolab.2021.104423 2025-03-05T12:31:11Z 2025-03-05T12:31:11Z 2022-05-25 Software info:eu-repo/semantics/acceptedVersion http://hdl.handle.net/10259/10288 eng https://www.mathworks.com/matlabcentral/fileexchange/112175-dmcen info:eu-repo/semantics/openAccess text/plain text/x-objcsrc