The choice of a good clustering algorithm is vital in many tasks to optimize results. Nowadays, the most used algorithms use only one strategy to find and form the clusters of data, which can limit the effectiveness of the ...

The role of innovations and clusters has increasingly dominated local and regional development policies in recent decades. This authoritative and accessible Handbook considers important aspects of high-tech clusters, ...

The role of innovations and clusters has increasingly dominated local and regional development policies in recent decades. This authoritative and accessible Handbook considers important aspects of high-tech clusters, ...

The purpose of this monograph is a study on clusters of computers and implements a high-performance cluster using the Windows ® Compute Cluster Server. The research presents theoretical concepts of parallel computing ...

Using a cosmological dark matter simulation of a galaxy-cluster halo, we follow the temporal evolution of its globular cluster population. To mimic the red and blue globular cluster populations, we select at high redshift ...

Intracluster stellar populations are a natural result of tidal interactions in galaxy clusters. Measuring these populations is difficult, but important for understanding the assembly of the most massive galaxies. The Coma ...

We conduct a statistical analysis of the radio source population in galaxy clusters as a function of redshift by matching radio sources from the Faint Images of the Radio Sky at Twenty-Centimeters catalog with 618 optically ...

Similarity measures for comparing clusterings is an important component, e.g., of evaluating clustering algorithms, for consensus clustering, and for clustering stability assessment. These measures have been studied for ...