Cluster analysis remains one of the most challenging yet fundamental tasks in unsupervised
learning. This is due in part to the fact that there are no labels or gold standards by which …

Background Mortality remains unacceptably high in patients with heart failure and reduced
left ventricular ejection fraction (LVEF) despite advances in therapeutics. We hypothesised …

Background Patient heterogeneity poses significant challenges for managing individuals
and designing clinical trials, especially in complex diseases. Existing classifications rely on …

Analyzing the environmental factors affecting benthic communities in coastal areas is crucial
for uncovering key factors that require conservation action. Here, we collected benthic and …

Sleep spindles are a hallmark of non-REM sleep and play a fundamental role in memory
consolidation. Alterations in these spindles are emerging as sensitive biomarkers for …

Aim Reef fishes are commonly recognized as sentinels of the ongoing tropicalization in
biogeographic transition zones between temperate and tropical areas. Despite the reliance …

Using large-scale call detail records of anonymised mobile phone service subscribers with
demographic and location information, we investigate how a long-distance residential move …

In scientific data analysis, clusters identified computationally often substantiate existing
hypotheses or motivate new ones. Yet the combinatorial nature of the clustering result …

Most commonly, stability analyses are performed using an external validation measure. For
example, the Jaccard index is one of the indexes of choice for stability measurement. The …

Previous research has robustly demonstrated that eye contact between actor and observer
promotes the simulation of perceived actions into the observer's own motor system, which in …