Sentence examples for requirements of clusters from inspiring English sources

We discuss the integration of Management Science into the context of regional innovation, organizational studies and industrial strategy and will shed light on the policy implications for the assessment and monitoring of clusters as well as on the management requirements of clusters.

After identifying the requirements of clustering graphs for visualization, in this paper we present a new clustering algorithm that is particularly designed for visualization so as to reduce the visual complexity of a layout, together with a strategy for improving the scalability of our algorithm.

Distributed parallel architectures and algorithms are thus helpful to achieve performance and scalability requirement of clustering large datasets.

Renewable energy systems entail a significant potential to meet the energy requirements of building clusters and districts (BCDs) provided that local energy sources are exploited efficiently.

Therefore, it is essential to determine the channel time requirements of each cluster with a certain number of devices and to determine how these clusters can compete to the shared channel time.

Proper estimation of sample size requirements for cluster-based studies requires estimates of the intra-cluster correlation coefficient (ICC) for the variables of interest.

The above assumptions, an adjustment for 20% attrition over the duration of the study, plus an allowance for cluster loss because of unforeseen reasons such as natural disasters (2 per treatment group), result in a requirement of 20 clusters per treatment group, for a total of approximately 600 subjects per treatment group (40 clusters and 1200 subjects total).

The clustering procedure required two stages because of the computational requirements for clustering such a large number of folds.

We show how this approach greatly reduces computation time and memory requirements for clustering large numbers of sequences and demonstrate the quality of the clusterings by benchmarking them as guide trees for multiple alignments.

We show how this approach greatly reduces computation time and memory requirements for clustering large numbers of sequences and demonstrate the quality of the clusterings by benchmarking them as guide trees for multiple alignment.

Developing a portfolio of applicable skills and capabilities based on the requirements of the job cluster will help ensure young people are able to easily move between roles.