Analysis of Temperature Signals and Their Clusterization Algorithm

Author:

Volkov Yu. V.

Publisher

Allerton Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference17 articles.

1. V. P. Dymnikov, Stability and Predictability of Large-Scale Atmospheric Processes (Institute of Numerical Mathematics of the Russian Academy of Sciences, Moscow, 2007) [in Russian].

2. V. A. Tartakovsky, “Synchronous Analysis of the Wolf Numbers and Temperature Series from Weather Station in the Northern Hemisphere of the Earth,” Optika Atmosfery i Okeana 28(2), 182–188 (2015).

3. S. P. Khromov and M. A. Petrosyan, Metrology and Climatology (Nauka, Moscow, 2006) [in Russian].

4. M. C. Peel, B. L. Finlayson, and T. A. McMahon, “Updated World Map of the Köppen-Geiger Climate Classification,” Hydrol. Earth Syst. Sci. 11(2), 1633–1644 (2007).

5. H. Franziska, J. Körper, T. Spangehl, and U. Cubasch, “Shifts of Climate Zones in Multi-Model Climate Change Experiments Using the Köppen Climate Classification,” Meteorologische Zeitschrift 21(2), 111–123 (2012).

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1. Estimate of Stability of the Dynamic Clustering Algorithm for Temperature Signals;Optoelectronics, Instrumentation and Data Processing;2020-11

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