00524naa#a2200169#i#4500001001500000005001700015011001400032100004100046101000800087102000700095200011000102210007200212215001000284608002700294700002100321856001200342EN\\bibl\4651620240425233633.4##a1681-1208##a20200425b2020####ek#y0engy0150####ca0#aENG##aRU1#aMethodology of physiography zoning using machine learning: A case study of the Black SeaeJournal article1#aMoscowcGeophysical Center of the Russian Academy of Sciencesd2020##a9 с.##aJournal article2local#1aKrivoguzgDenis 4#arjes.ru