5.Hutchins M L, Holzworth R H and Brundell J B 2014 Diurnal variation of the global electric circuit from clustered thunderstorms J. Geophys. Res.?: Space Phys. 199 620-9
6.Shabaganova S.N., Karimov R.R., Kozlov V.I., Mullayarov V.A. “Characteristics of storm cells from observations in Yakutia”. Russ. Meteorol. Hydrol. 2013. Vol. 37, No. 11-12. P. 746-751. DOI: 10.3103/S1068373912110088
7.Мареев Е.А., Стасенко В.Н., Булатов А.А., Дементьева С.О., Евтушенко А.А., Ильин Н.В., Кутерин Ф.А., Слюняев Н.Н., Шаталина М.В. Российские исследова-ния атмосферного электричества в 2011-2014 гг Известия Российской академии наук. Физика атмосферы и океана. 2016. Т. 52. № 2. С. 175.
8.Kovбcs, F., Legбny, C., & Babos, A. (2005) Cluster validity measurement techniques. Proceedings of the 6th International Symposium of Hungarian Researchers on Computa-tional Intelligence, Budapest, Nov. 2005, 18-19. URL: http://uni-obuda.hu/conferences/mtn2005/KovacsFerenc.pdf
9.Rousseeuw P. J. “Silhouettes: A graphical aid to the interpretation and validation of cluster analysis”. J. Comput. Appl. Math. 20, 53-65 (1987).
10.Jain, A.K. Data clustering: 50 years beyond K-means // Pattern recognition letters. -2010. - Vol. 31. - No. 8. - P. 651-666.
11.A density-based algorithm for discovering clusters in large spatial database / M. Ester, H.-P. Kriegel, J. Sander, X. Xu // Proc. 1996 Intern. Conf. on Knowledge Discovery and Data Mining.-1996.-P. 226-231.
12.Xu, R. Survey of clustering algorithms / R. Xu, D. Wunsch // IEEE Transactions, Neural Networks. - 2005. - Vol. 16. - No. 3. - P. 645-678.
13.Беликова Марина Юрьевна, Кречетова Светлана Юрьевна, Перелыгин Антон Александрович Методы и результаты кластеризации данных по грозовым разря-дам // Известия АлтГУ. 2016. №1 (89). URL: http://izvestia.asu.ru/ru/article/842/.
14.Dowden, R. L., J. B. Brundell, and C. J. Rodger, VLF lightning location by time of group arrival (TOGA) at multiple sites, J. Atmos. Solar.-Terr. Phys., 2002, Vol. 64, No. 7, pp. 817-830.
15.Platnick, S., K. Meyer, M. D. King, G. Wind, N. Amarasinghe, B. Marchant, G. T. Ar-nold, Z. Zhang, P. A. Hubanks, R. E. Holz, P. Yang, W. L. Ridgway, and J. Riedi, 2017: The MODIS cloud optical and microphysical products: Collection 6 updates and exam-ples from Terra and Aqua. IEEE Trans. Geosci. Remote Sens., 55, 502-525, DOI: 10.1109/TGRS.2016.2610522.
16.European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) URL: http://eumetview.eumetsat.int/mapviewer/.
17.Charrad M., Ghazzali N., Boiteau V., Niknafs A. (2014). "NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set.", "Journal of Statistical Software, 61(6), 1-36.", "URL http://www.jstatsoft.org/v61/i06/".
18.Michael Hahsler, Matthew Piekenbrock, Sunil Arya, David Mount dbscan: Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms https://CRAN.R-project.org/package=dbscan.
19.Christian Hennig fpc: Flexible Procedures for Clustering https://CRAN.R-project.org/package=fpc.
20.Hadi Fanaee Tork. 2012. Spatio-temporal clustering methods classification. In Doctoral Symposium on Informatics Engineering. 199-209.
21.Загоруйко Н.Г. Интеллектуальный анализ данных, основанный на функции кон-курентного сходства // Автометрия, 2008. Том 44, №3, С. 31-40.