Memorias de investigación
Research Publications in journals:
A New Technique Based on Voronoi Tessellation to Assess the Space-Dependence of Categorical Variables
Year:2019
Research Areas
  • Mathematics,
  • Engineering
Information
Abstract
Based on a sample of geolocated elements, each of them labeled with a (not necessarily ordered) categorical feature, several indexes for assessing the relationship between the geolocation variables (latitude and longitude) and the categorical variable are evaluated. Among these indexes, a new one based on a Voronoi tessellation presents several advantages since it does not require a variable transformation or a previous discretization; in addition, simulations show that this index is considerably robust when compared with the previously known ones. Finally, the use of the presented indexes is also illustrated by analyzing the geolocation of communities in some communication networks derived from Call Detail Records.
International
Si
JCR
Si
Title
Entropy
ISBN
1099-4300
Impact factor JCR
2,305
Impact info
Datos JCR del año 2017
Volume
21
10.3390/e21080774
Journal number
774
From page
1
To page
14
Month
SIN MES
Ranking
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Dinámicos, Aprendizaje y Control (SISDAC)
  • Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones
  • Departamento: Matemática Aplicada a Las Tecnologías de la Información y Las Comunicaciones