Morphological study of open clusters can provide observational evidence for tracing the formation mechanism of star clusters and help to explore the evolution of star clusters. The morphology of open ...

Today, wireless sensor networks (WSNs) are growing rapidly and provide a lot of comfort to human life. Due to the use of WSNs in various areas, like health care and battlefield, security is an ...

In materials science, substances are often classified based on defining factors such as their elemental composition or crystalline structure. This classification is crucial for advances in materials ...

Data clustering is the process of placing data items into groups so that items within a group are similar and items in different groups are dissimilar. The most common technique for clustering numeric ...

Cell function is regulated by the spatiotemporal organization of the signaling machinery, and a key facet of this is molecular clustering. Here, we present a protocol for the analysis of clustering in ...

Entropy Minimization is a new clustering algorithm that works with both categorical and numeric data, and scales well to extremely large data sets. Data clustering is the process of placing data items ...

Hardware-Clustering (manchmal auch als Betriebssystem-Clustering bezeichnet) ist eine hardwarebasierte Methode zur Umwandlung mehrerer Server in ein Cluster (eine Gruppe von Servern, die wie ein ...