Cluster analysis, a commonly used machine-learning technique uses these basic features to not only categorize materials and summarize similarities between them but also provide information ...

In the new round of smart industrial transformation, Ningbo Lanyuan Industrial City Group Co., Ltd. has recently delivered new achievements in the field of big data applications. The company has ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on technique for visualizing and clustering data. A self-organizing map (SOM) is a data structure that can be used ...

Analysis revealed 661 significantly enriched comorbidities at UCSF spanning multiple disease categories, with the strongest ...

The study, “Using Artificial Intelligence to Determine the Impact of E-Commerce on the Digital Economy,” builds a fused indicator matrix spanning ICT infrastructure, payments, trade and logistics, ...

An important goal in image analysis is to cluster and recognize objects of interest according to the shapes of their boundaries. Clustering such objects faces at least four major challenges including ...

To accommodate the surging data volumes, Facebook has moved its Hadoop cluster to a new and bigger data center.