Publications by authors named "Nusret Dreskovic"
The Choice of an Appropriate Information Dissimilarity Measure for Hierarchical Clustering of River Streamflow Time Series, Based on Calculated Lyapunov Exponent and Kolmogorov Measures.
Dragutin T Mihailović Emilija Nikolić-Đorić Slavica Malinović-Milićević Vijay P Singh Anja Mihailović
Entropy (Basel)
February 2019
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 average-linkage clustering hierarchical algorithm based on the compression-based dissimilarity measure (NCD), permutation distribution dissimilarity measure (PDDM), and Kolmogorov distance (KD). The algorithm was also compared with K-means clustering based on Kolmogorov complexity (KC), the highest value of Kolmogorov complexity spectrum (KCM), and the largest Lyapunov exponent (LLE).
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- Analysis of daily solar irradiation variability is crucial for effective energy resource planning and management, as it’s affected by factors like cloudiness and terrain.
- A study conducted on solar irradiance data from La Reunion Island during 2013-2015 revealed high complexity in half-day solar irradiation patterns, leading to classification into three distinct groups based on trade wind influences.
- The research introduces a measure called Kolmogorov time, which helps quantify how randomness impacts the predictability of solar irradiation over time.