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Estimación de densidades multivariadas en flujo de datos usando mezclas adaptativas de componentes gaussianas
In the current world of science and technology the data arrive continuously over time, this type of data is called data stream and is impractical to store all of the data. The data mining and traditional techniques of ...
Efecto de casos anómalos en máquinas de vectores de soporte
Support Vector Machines (SVM) is a new technique of classification that has received much attention in recent years. In many applications, the SVM has shown better performance than machine learning methods, and it has been ...
Modelo de clasificación y predicción en dos etapas: utilizando árboles de clasificación y el análisis de regresión multivariada
Currently there exists a great variety of methods and algorithms attempting to optimize the process of classification. However, these methods do not take into account the internal structure of the classification datasets. ...
Técnica de componentes indepedientes: aplicación y análisis de datos de series temporales sobre Puerto Rico
The time series analysis is oriented to the problem of prediction. Perform a univariate analysis is simpler than a multivariate analysis because the univariate analysis is concerned only with the structure of internal ...