The COVID-19 pandemic seems to be the most important phenomenon observed from March 2020 in virtually all countries of the world. The necessity to prevent the spread of …
In unsupervised learning, the problem of finding the appropriate number of clusters-usually notated as k-is very challenging. Its importance lies in the fact that k is a vital hyperparameter …
Molecular profiling is central in cancer precision medicine but remains costly and is based on tumor average profiles. Morphologic patterns observable in histopathology sections from …
In this paper, we propose a fully autonomous, local-modes-based data partitioning algorithm, which is able to automatically recognize local maxima of the data density from …
Despite recent efforts, the challenge in clustering categorical and mixed data in the context of big data still remains due to the lack of inherently meaningful measure of similarity …
C Liu, C Guo - Expert Systems with Applications, 2020 - Elsevier
Most of traditional trajectory clustering algorithms often cluster similar trajectories from a temporal or spatial perspective. One weak point is that the semantic relationship between …
EV Avramidou, AG Doulis… - Journal of food …, 2018 - Wiley Online Library
Foods based on Olea europaea are of substantial importance for Mediterranean people. The association between olive products with great civilizations emphasizes the role that …
PB Gibson, N Rampal, SM Dean… - Journal of Geophysical …, 2024 - Wiley Online Library
Large uncertainty exists in the sign of long‐term changes in regional scale mean precipitation across the current generation of global climate models. To explore the physical …
L Fu, Y Yang, X Yao, X Jiao, T Zhu - Energies, 2019 - mdpi.com
Photovoltaic (PV) power generation is greatly affected by meteorological environmental factors, with obvious fluctuations and intermittencies. The large-scale PV power generation …