Representatividad Muestral en la Incertidumbre Sim\'etrica Multivariada para la Selecci\'on de Atributos

Author: Gustavo Daniel Sosa Cabrera Advisors: Miguel García Torres Santiago Gómez Christian E. Schaerer Serra SUMMARY In this work, we analyze the behavior of the multivariate symmetric uncertainty (MSU) measure through the use of statistical simulation techniques under various mixes of informative and non-informative randomly generated features. Experiments show how the number of attributes, their cardinalities, and the sample size affect the MSU. In this thesis, through observation of results, it is proposed an heuristic condition that preserves good quality in the MSU under different combinations of these three factors, providing a new useful criterion to help drive the process of dimension reduction. Definición 5. La incertidumbre simétrica de dos variables aleatorias X, Y se define como Hierarchical clustering based on mutual information.