Identifying co-expressed gene clusters can provide evidence for genetic or physical
interactions. Thus, co-expression clustering is a routine step in large-scale analyses of gene …

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 …

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 …

Foods based on Olea europaea are of substantial importance for Mediterranean people.
The association between olive products with great civilizations emphasizes the role that …

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 …

Photovoltaic (PV) power generation is greatly affected by meteorological environmental
factors, with obvious fluctuations and intermittencies. The large-scale PV power generation …