(2020). Numerical method for clustering homogeneous alternatives that characterize the quality of anti-terrorist security of objects of internal affairs bodies, based on the sum of differences of weighted features. МОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ, 8, 15. https://doi.org/10.26102/2310-6018/2020.31.4.015
Chicago Style (17th ed.) Citation"Numerical Method for Clustering Homogeneous Alternatives That Characterize the Quality of Anti-terrorist Security of Objects of Internal Affairs Bodies, Based on the Sum of Differences of Weighted Features." МОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ 8 (2020): 15. https://doi.org/10.26102/2310-6018/2020.31.4.015.
MLA (9th ed.) Citation"Numerical Method for Clustering Homogeneous Alternatives That Characterize the Quality of Anti-terrorist Security of Objects of Internal Affairs Bodies, Based on the Sum of Differences of Weighted Features." МОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ, vol. 8, 2020, p. 15, https://doi.org/10.26102/2310-6018/2020.31.4.015.