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Clasificación noparamétrica en datos direccionales
(2004)
In a supervised classification problem, when the vectors of data are direction- al, it means, that they take values on a k-dimensional sphere, the application of the algorithms of pattern recognition as k-nearest-neighbour ...
Clasificadores por redes bayesianas
(2005)
A Bayesian network is a compact representation of joint probability function. Formally, a Bayesian network is an acyclic directed graph in which each node represents a random variable and the relationships of dependence ...
Análisis no paramético para la predicción de datos funcionales
(2013-06)
Los datos de alta dimensión y funcionales están ganando importancia en problemas de predicción debido a los avances técnicos que permiten su captura y tratamiento. Este tipo de datos aparecen frecuentemente en la Medicina ...
Estimación de densidades multivariadas en flujo de datos usando mezclas adaptativas de componentes gaussianas
(2012-06)
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 ...
A comparison in cluster validation techniques
(2004)
Clustering may be defined as a process that aims to find partitions of similar objects. It is an unsupervised recognition procedure since there are no predefined classes that indicate grouping properties in the data set. ...
Efecto de casos anómalos en máquinas de vectores de soporte
(2009-03)
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
(2015-06)
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. ...
Regresión logística con penalidad ridge aplicada a datos de expresión genética
(2005)
Logistic regression analysis is used in classification to find out which group an individual belong from a predictor variables set. In classification sometimes we work with data sets with more variables than observations. ...
Análisis sobre métodos de pruebas de hipótesis múltiple en la identificación de genes diferencialmente expresados
(2009-07)
The Human Genome Project is the most important reason for the surge of new technologies in the microarray area. These technologies facilitate the experimentation with a large number of genes simultaneously. These experiments ...
Un algoritmo para clasificación no supervisada de datos funcionales
(2011-12)
La estadística multivariada ofrece diversas herramientas que permiten realizar un análisis para ciertos conjuntos de datos. Sin embargo surge una rama de la estadística en la cual se dejan de observar conjuntos de datos ...