Clustering is the process of using heuristic to link together individual UTXOs that are controlled by a single wallet. It is ...

UCLA scientists mined millions of electronic health records and uncovered four distinct “roadways” that funnel people toward Alzheimer’s—ranging from mental-health struggles to vascular troubles.

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Plants produce a wide diversity of compounds. Broadly, these are separated into primary metabolites, which are necessary for ...

The next step is to diagnose how the brand is performing now - this doesn't mean the brand isn't meeting its sales targets or forecasted revenue. Brand managers and senior management often only ...

In the paper, the modified fuzzy c-means (MFc) is firstly used to treat the ill-balanced fMRI dataset to improve the efficiency, remove the redundance and reduce the population of analyzed voxels.

The paper considers the problem of clustering pixels of a color raster image. The task is to compare the effectiveness of three different clustering methods: k-means, DBSCAN, agglomerative clustering.