Browsing by Author "Plastria, Frank"
Plastria, Frank; Bruyne, Steven de; Carrizosa Priego, Emilio José (Springer, 2010-02)
We consider the linear classification method consisting of separating two sets of points in d-space by a hyperplane. We wish to determine the hyperplane which minimises the sum of distances from all misclassified points ...
Dimensionality Reduction for Classification: Comparison of Techniques and Dimension Choice [Chapter of Book]Plastria, Frank; Bruyne, Steven de; Carrizosa Priego, Emilio José (Springer, 2008)
We investigate the effects of dimensionality reduction using different techniques and different dimensions on six two-class data sets with numerical attributes as pre-processing for two classification algorithms. Besides ...
Improved results for the k-centrum straight-line location problem [Presentation]Lozano Palacio, Antonio José; Mesa López-Colmenar, Juan Antonio; Plastria, Frank (2004)
The k-Centrum problem consists in finding a point that minimises the sum of the distances to the k farthest points out of a set of given points. It encloses as particular cases to two of the most known problems in Location ...
Optimal expected-distance separating halfspace [Article]Carrizosa Priego, Emilio José; Plastria, Frank (INFORMS (Institute for Operations Research and Management Sciences), 2008-08)
One recently proposed criterion to separate two datasets in discriminant analysis, is to use a hyperplane which minimises the sum of distances to it from all the misclassified data points. Here all distances are supposed ...
Plastria, Frank; Carrizosa Priego, Emilio José (Springer, 2004-06)
A single facility has to be located in competition with fixed existing facilities of similar type. Demand is supposed to be concentrated at a finite number of points, and consumers patronise the facility to which they are ...
Optimization-based methods for classification and regression problems with imprecise data [PhD Thesis]Gordillo Santofimia, José Feliciano (2008)
En esta tesis, desarrollamos varias herramientas para resolver problemas de clasificación y regresión donde los elementos del conjunto de datos no son vectores de características puntuales, sino conjuntos en Rd con ciertas ...
El problema del anti-k-centrum en grafos [Presentation]Lozano Palacio, Antonio José; Mesa López-Colmenar, Juan Antonio; Plastria, Frank (Alberto Márquez, 2002)
Three location tapas calling for CG sauce [Presentation]Plastria, Frank (2013)
Based on some recent modelling considerations in location theory we call for study of three CG constructs of Voronoi type that seem not to have been studied much before.