RT Computer Program
T1 DMCEN a MATLAB function to evaluate the entropy improvement provided by a multivariate k-class-model
A1 Sánchez Pastor, Mª Sagrario
A1 Valencia García, Olga
A1 Ruiz Miguel, Santiago
A1 Ortiz Fernández, Mª Cruz
A1 Sarabia Peinador, Luis Antonio
K1 Entropía
K1 Modelado de clases
K1 Indicador de rendimiento
K1 Algoritmos computacionales
K1 Computer algorithms
AB 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
YR 2022
FD 2022-05-25
LK http://hdl.handle.net/10259/10288
UL http://hdl.handle.net/10259/10288
LA eng
NO El software es una función de MATLAB que calcula un indicador del rendimiento de un modelado de k clases
DS Repositorio Institucional de la Universidad de Burgos
RD 13-mar-2025