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A computational environment for data preprocessing in supervised classification 

Rodríguez, Caroline K. (2004)
In this thesis, a data preprocessing environment has been created, for use in a supervised classification context, with the Windows platform of the R programming language and environment for statistical computing and ...

Clasificación noparamétrica en datos direccionales 

Velasco-Forero, Santiago A. (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 ...

Algorithms for non-parametric classifiers in multi-relational data mining 

Encarnación-Rivera, Trilce M. (2006)
Over the last decades, due to the advances in information technologies, both the industrial and scientific communities have acquired large volumes of data in digital form. Most of these data sets are stored using relational ...

Evaluación de métodos de imputación para datos de expresión genética 

Díaz-Hernández, Sindy (2007)
The technology of microarrays introduced in the middle of the nineties allow the analysis of the gene expression levels of thousands of genes simultaneously. The identification of genes with an expression level very different ...

Unsupervised classification of text documents 

Aparicio-Carrasco, Roxana K. (2007)
The automatic extraction of knowledge from very large document collections is becoming an important issue in order to exploit the increasing available information stored in text form. A significant aspect of this extraction ...

Componentes principales supervisados para clasificación de datos de expresión genética 

Porras-Cerrón, Jaime C. (2005)
The gene expression data obtained through the technology of microarrays are characterized by its considerably greater amount of features in comparison to the number of observations. The direct use of traditional statistics ...

Regresión logística con penalidad ridge aplicada a datos de expresión genética 

Prieto-Castellanos, Karen A. (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. ...

Clasificadores por redes bayesianas 

López de Castilla-Vásquez, Carlos (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 ...
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AuthorAparicio-Carrasco, Ana M. (1)Aparicio-Carrasco, Roxana K. (1)Barreto-González, César A. (1)Choque-Dextre, Yency E. (1)Díaz-Hernández, Sindy (1)Encarnación-Rivera, Trilce M. (1)González-Toledo, Marggie D. (1)Huanca-Ochoa, Shirley Y. (1)López de Castilla-Vásquez, Carlos (1)Moyano-Niño, Héctor (1)... View MoreAdvisor
Acuña-Fernández, Edgar (18)
KeywordsMicroarrays (2)Adaptive mixture (1)Algorithms (1)Bayesian analysis (1)Binary classification (1)Clasificación de datos funcionales (1)Clasificación noparamétrica (1)Classification problems (1)Classification trees (1)Cluster validation techniques (1)... View MoreSubject HeadingAlgorithms (4)Multivariate analysis (3)Functional analysis (2)Variables (Mathematics) (2)Algorithms. (1)Bayesian statistical decision theory (1)Climatic changes -- Mathematical models (1)Cluster analysis (1)Cluster analysis -- Data processing (1)Common bean -- Climatic factors (1)... View MoreType
Thesis (18)
Date2010 - 2015 (7)2004 - 2009 (11)DepartmentDepartment of Mathematics (18)ProgramMathematical Statistics (14)Scientific Computing (3)Computer Science (1)CollectionTheses & Dissertations (18)

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