RT info:eu-repo/semantics/article
T1 Hybrid Unsupervised Exploratory Plots: A Case Study of Analysing Foreign Direct Investment
A1 Herrero Cosío, Álvaro
A1 Jiménez, Alfredo
A1 Bayraktar, Secil
K1 Informática
K1 Computer science
AB The curse of dimensionality has been an open issue for many years and still is, as finding nonobvious and previously unknown patterns in ever-increasing amounts of high-dimensional data is not an easy task. Advancing in descriptive data analysis, the present paper proposes Hybrid Unsupervised Exploratory Plots (HUEPs) as a new visualization technique to combine the outputs of Exploratory Projection Pursuit and Clustering methods in a novel and informative way. As a case study, HUEPs are validated in a real-world context for analysing the internationalization strategy of companies, by taking into account bilateral distance between home and host countries. As a multifaceted concept, distance encompasses multiple dimensions. Together with data from both the countries and the companies, various psychic distances are analysed by means of HUEPs, to gain deep knowledge of the internationalization strategy of large Spanish companies. Informative visualizations are obtained from the analysed dataset, leading to useful business implications and decision making.
PB Hindawi
SN 1076-2787
YR 2019
FD 2019-06
LK http://hdl.handle.net/10259/7258
UL http://hdl.handle.net/10259/7258
LA eng
NO The work was conducted during Álvaro Herrero’s research stay at KEDGE Business School in Bordeaux (France). Some results of this ongoing research, from the same dataset, have been presented in the 13th International Conference on Soft Computing Models in Industrial and Environmental Applications, as a paper entitled “Visualizing Industrial Development Distance to Better Understand Internationalization of Spanish Companies”.
DS Repositorio Institucional de la Universidad de Burgos
RD 23-nov-2024