Соколова, Л. В.Колісник, О. В.Манакова, Н. О.2020-09-142020-09-142019Sokolova, L., Manakova, N. & Kolisnyk, O., (2019). Ensembling clustering method for evaluating of the economic security components. case study: The regions of Ukraine. In 2019 IEEE International Scientific-Practical Conference: Problems of Infocommunications Science and Technology (PIC S&T) 2019 - Proceedings (pp. 81-86).978-1-7281-4184-8978-1-7281-4182-4DOI 10.1109/PICST47496.2019.9061220https://ieeexplore.ieee.org/document/9061220http://openarchive.nure.ua/handle/document/13271The full text is available on the website: https://ieeexplore.ieee.org/document/9061220/metrics#metrics http://www.scopus.com/inward/record.url?eid=2-s2.0-85083638515&partnerID=MN8TOARS. DOI: 10.1109/PICST47496.2019.9061220. EID: 2-s2.0-85083638515The article focuses on the economic security of the Ukrainian regions and the evaluation of its components, which are classified into groups of socio-economic indicators of the region's development, quality of life of the population of the regions and the use of ICT (information-communication technologies) in the regions. In this article, we propose an ensembling clustering method, which allows automatically selecting a clustering method on the basis of optimization of the aggregating functional of internal clustering quality indexes. After preliminary estimation of the clusterability, the choice of the optimal method is performed on the set of specified methods and metrics of measuring the dissimilarity of objects. The article presents an approbation of the proposed method using the example of evaluating separate components of the economic security of Ukrainian regions and presents the empirical results of the implemented method.enclusterabilityensembling clustering methodregionseconomic securitysocial and economic development indicatorscompetitivenessinvestment attractivenesspartitioning clusteringhierarchical clusteringConference proceedings