2026-06-02T05:13:20Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/72582023-01-18T01:05:29Zcom_10259_3847com_10259_5086com_10259_2604col_10259_3848

Herrero Cosío, Álvaro Jiménez, Alfredo Bayraktar, Secil 2023-01-17T12:49:38Z 2023-01-17T12:49:38Z 2019-06 1076-2787 http://hdl.handle.net/10259/7258 10.1155/2019/6271017 1099-0526 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. eng http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Atribución 4.0 Internacional Hybrid Unsupervised Exploratory Plots: A Case Study of Analysing Foreign Direct Investment info:eu-repo/semantics/article