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Hierarchical Cluster Analysis by R language for Pattern Recognition in the Bathymetric Data Frame: a Case Study of the Mariana Trench, Pacific Ocean. / Леменкова, Полина Алексеевна.

ВИРТУАЛЬНОЕ МОДЕЛИРОВАНИЕ, ПРОТОТИПИРОВАНИЕ И ПРОМЫШЛЕННЫЙ ДИЗАЙН : Материалы V Международной научно-практической конференции. Том 2 5. ред. Тамбов, 2018. стр. 147-153.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Леменкова, ПА 2018, Hierarchical Cluster Analysis by R language for Pattern Recognition in the Bathymetric Data Frame: a Case Study of the Mariana Trench, Pacific Ocean. в ВИРТУАЛЬНОЕ МОДЕЛИРОВАНИЕ, ПРОТОТИПИРОВАНИЕ И ПРОМЫШЛЕННЫЙ ДИЗАЙН : Материалы V Международной научно-практической конференции. 5 изд., Том. 2, Тамбов, стр. 147-153, ВИРТУАЛЬНОЕ МОДЕЛИРОВАНИЕ, ПРОТОТИПИРОВАНИЕ И ПРОМЫШЛЕННЫЙ ДИЗАЙН, Тамбов, Российская Федерация, 14/11/18.

APA

Леменкова, П. А. (2018). Hierarchical Cluster Analysis by R language for Pattern Recognition in the Bathymetric Data Frame: a Case Study of the Mariana Trench, Pacific Ocean. в ВИРТУАЛЬНОЕ МОДЕЛИРОВАНИЕ, ПРОТОТИПИРОВАНИЕ И ПРОМЫШЛЕННЫЙ ДИЗАЙН : Материалы V Международной научно-практической конференции (5 ред., Том 2, стр. 147-153).

Vancouver

Леменкова ПА. Hierarchical Cluster Analysis by R language for Pattern Recognition in the Bathymetric Data Frame: a Case Study of the Mariana Trench, Pacific Ocean. в ВИРТУАЛЬНОЕ МОДЕЛИРОВАНИЕ, ПРОТОТИПИРОВАНИЕ И ПРОМЫШЛЕННЫЙ ДИЗАЙН : Материалы V Международной научно-практической конференции. 5 ред. Том 2. Тамбов. 2018. стр. 147-153

Author

Леменкова, Полина Алексеевна. / Hierarchical Cluster Analysis by R language for Pattern Recognition in the Bathymetric Data Frame: a Case Study of the Mariana Trench, Pacific Ocean. ВИРТУАЛЬНОЕ МОДЕЛИРОВАНИЕ, ПРОТОТИПИРОВАНИЕ И ПРОМЫШЛЕННЫЙ ДИЗАЙН : Материалы V Международной научно-практической конференции. Том 2 5. ред. Тамбов, 2018. стр. 147-153

BibTeX

@inproceedings{8c91aba96d5a45e6a698b1a16477e794,
title = "Hierarchical Cluster Analysis by R language for Pattern Recognition in the Bathymetric Data Frame: a Case Study of the Mariana Trench, Pacific Ocean",
abstract = "The geographic focus of the current study Mariana trench, the deepest point of the Earth located in the west Pacific Ocean. Mariana trench has unique structure and features formed in the complex process of the trench development. There is a range of the environmental factors affecting trench structure and functioning: bathymetry, geography, geology and tectonics. Current research aimed to study interconnections among these determinants. Technically, the research was performed by R programming language, statistical analysis, and Quantum GIS. Methodology includes a range of the statistical methods for data processing, the most important of which is cluster analysis. The results revealed unevenness of the factors affecting trench bathymetric structure, caused by the environmental conditions.",
keywords = "Cluster analysis, R programming language, algorithms, oceanography, Mariana Trench",
author = "Леменкова, {Полина Алексеевна}",
year = "2018",
month = nov,
day = "14",
language = "English",
isbn = "978-5-8265-1997-4",
volume = "2",
pages = "147--153",
booktitle = "ВИРТУАЛЬНОЕ МОДЕЛИРОВАНИЕ, ПРОТОТИПИРОВАНИЕ И ПРОМЫШЛЕННЫЙ ДИЗАЙН",
edition = "5",
note = "ВИРТУАЛЬНОЕ МОДЕЛИРОВАНИЕ, ПРОТОТИПИРОВАНИЕ И ПРОМЫШЛЕННЫЙ ДИЗАЙН ; Conference date: 14-11-2018 Through 16-11-2018",
url = "https://www.tstu.ru/book/elib/pdf/2018/virtmodt2.pdf",

}

RIS

TY - GEN

T1 - Hierarchical Cluster Analysis by R language for Pattern Recognition in the Bathymetric Data Frame: a Case Study of the Mariana Trench, Pacific Ocean

AU - Леменкова, Полина Алексеевна

PY - 2018/11/14

Y1 - 2018/11/14

N2 - The geographic focus of the current study Mariana trench, the deepest point of the Earth located in the west Pacific Ocean. Mariana trench has unique structure and features formed in the complex process of the trench development. There is a range of the environmental factors affecting trench structure and functioning: bathymetry, geography, geology and tectonics. Current research aimed to study interconnections among these determinants. Technically, the research was performed by R programming language, statistical analysis, and Quantum GIS. Methodology includes a range of the statistical methods for data processing, the most important of which is cluster analysis. The results revealed unevenness of the factors affecting trench bathymetric structure, caused by the environmental conditions.

AB - The geographic focus of the current study Mariana trench, the deepest point of the Earth located in the west Pacific Ocean. Mariana trench has unique structure and features formed in the complex process of the trench development. There is a range of the environmental factors affecting trench structure and functioning: bathymetry, geography, geology and tectonics. Current research aimed to study interconnections among these determinants. Technically, the research was performed by R programming language, statistical analysis, and Quantum GIS. Methodology includes a range of the statistical methods for data processing, the most important of which is cluster analysis. The results revealed unevenness of the factors affecting trench bathymetric structure, caused by the environmental conditions.

KW - Cluster analysis

KW - R programming language

KW - algorithms

KW - oceanography

KW - Mariana Trench

UR - https://elibrary.ru/item.asp?id=37086376

M3 - Conference contribution

SN - 978-5-8265-1997-4

VL - 2

SP - 147

EP - 153

BT - ВИРТУАЛЬНОЕ МОДЕЛИРОВАНИЕ, ПРОТОТИПИРОВАНИЕ И ПРОМЫШЛЕННЫЙ ДИЗАЙН

CY - Тамбов

T2 - ВИРТУАЛЬНОЕ МОДЕЛИРОВАНИЕ, ПРОТОТИПИРОВАНИЕ И ПРОМЫШЛЕННЫЙ ДИЗАЙН

Y2 - 14 November 2018 through 16 November 2018

ER -

ID: 134334465