Classification of Combat Wheeled Vehicles Using Cluster Analysis Methods

Authors

  • Victor Golub The National Defence University of Ukraine named after Ivan Cherniakhovskyi
  • Volodymyr Kurban The National Defence University of Ukraine named after Ivan Cherniakhovskyi
  • Sviatoslav Sedov The National Defence University of Ukraine named after Ivan Cherniakhovskyi
  • Gennadii Golub The National University of Life and Environmental Sciences of Ukraine

DOI:

https://doi.org/10.3849/aimt.01499

Keywords:

complete link method, dendrogram, single link method, Ward’s method, weighted centroid localization method

Abstract

The functionality and purpose of combat wheeled vehicles (CWV) models are determined by both the requirements of the armed forces and the financial and technical capabilities of military equipment manufacturers. This leads to a discrepancy between the technical characteristics of the CWV model and its combat purpose. For the classification of CWV, an approach is proposed that consists of using generalized indicators that characterize the combat properties of CWV models, which allows establishing a correspondence between the technical characteristics of CWV models and their functional purpose, provides an opportunity to develop rational protection options and to justify specific technical solutions to increase the level of survivability of CWV models within groups.

References

HENNIG, C., M. MEILA, F. MURTAGH and R. ROCCI. Handbook of Cluster Analysis. New York: Chapman & Hall, 2015. ISBN 978-0-429-18547-2.

GOLUB, V., V. HOMA, V. KURBAN and S. SEDOV. Regarding the Definition of the Concept of Building an Armament System for the Needs of the Armed Forces of Ukraine (in Ukrainian). Science and Defense, 2019, 3, pp. 31-35.

GAJDA, J. and M. MIELCZAREK. Automatic Vehicle Classification in Systems with Single Inductive Loop Detector. Metrology and Measurement Systems, 2014, 21(4), pp. 619-630. DOI 10.2478/mms-2014-0048.

THOTA, L.S., A.S. BADAWY, S.B. CHANGALASETTY and W. GHRIBI. Classify Vehicles: Classification or Clusterization? In: 2015 International Conference on Circuits, Power and Computing Technologies. Nagercoil: IEEE, 2015. DOI 10.1109/ICCPCT.2015.7159421.

SINGHAL, G., B. BANSOD and L. MATHEW. Unmanned Aerial Vehicle Classifi-cation, Applications and Challenges: A Review. Preprints, 2018, 2018110601. DOI 10.20944/preprints201811.0601.v1.

LOUF, R. and M. BARTHELEMY. A Typology of Street Patterns. Journal of the Royal Society Interface, 2014, 11(101), 20140924. DOI 10.1098/rsif.2014.0924.

International Institute for Strategic Studies. The Military Balance. London: Routledge, 2019. ISBN 978-1-032-01227-7.

MENDENHALL, W.M. and T.L. SINCICH. Statistics for Engineering and the Sciences. 5th ed. London: Pearson, 2006. ISBN 978-0-13-187706-2.

Statistica Base [online]. [viewed 2021-13-10]. Available from: http://statsoft.ru/products/STATISTICA_Base/

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Published

11-03-2022

How to Cite

Golub, V., Kurban, V., Sedov, S., & Golub, G. (2022). Classification of Combat Wheeled Vehicles Using Cluster Analysis Methods. Advances in Military Technology, 17(1), 5–16. https://doi.org/10.3849/aimt.01499

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