Dynamics Of Seasonal Patterns In Geochemical, Isotopic, And Meteorological Records Of The Elbrus Region Derived From Functional Data Clustering

Dynamics Of Seasonal Patterns In Geochemical, Isotopic, And Meteorological Records Of The Elbrus Region Derived From Functional Data Clustering

A nonparametric clustering method, the Bagging Voronoi K-Medoid Alignment algorithm, which simultaneously clusters and aligns spatially/temporally dependent  curves,  is applied to study various data series from the Elbrus  region (Central Caucasus). We used the algorithm to cluster annual curves ob...

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Bibliographic Details
Main Authors: Gleb A. Chernyakov, Valeria Vitelli, Mikhail Y. Alexandrin, Alexei M. Grachev, Vladimir N. Mikhalenko, Anna V. Kozachek, Olga N. Solomina, V. V. Matskovsky
Format: Article
Language:English
Published: Lomonosov Moscow State University 2020-10-01
Series:Geography, Environment, Sustainability
Subjects:
central caucasus
paleoclimate archives
lake sediments
ice cores
clustering
functional data
Online Access:https://ges.rgo.ru/jour/article/view/1322

Internet

https://ges.rgo.ru/jour/article/view/1322

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