The Choice of an Appropriate Information Dissimilarity Measure for Hierarchical Clustering of River Streamflow Time Series, Based on Calculated Lyapunov Exponent and Kolmogorov Measures

The Choice of an Appropriate Information Dissimilarity Measure for Hierarchical Clustering of River Streamflow Time Series, Based on Calculated Lyapunov Exponent and Kolmogorov Measures

The purpose of this paper was to choose an appropriate information dissimilarity measure for hierarchical clustering of daily streamflow discharge data, from twelve gauging stations on the Brazos River in Texas (USA), for the period 1989⁻2016. For that purpose, we selected and compared the...

Full description

Bibliographic Details
Main Authors: Dragutin T. Mihailović, Emilija Nikolić-Đorić, Slavica Malinović-Milićević, Vijay P. Singh, Anja Mihailović, Tatijana Stošić, Borko Stošić, Nusret Drešković
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Entropy
Subjects:
streamflow time series
Brazos River
average-linkage clustering hierarchical algorithm
K-means clustering
Kolmogorov complexity-based measures
largest Lyapunov exponent
Lyapunov time
Kolmogorov time
predictability of streamflow time series
Online Access:https://www.mdpi.com/1099-4300/21/2/215

Internet

https://www.mdpi.com/1099-4300/21/2/215

Similar Items