Sentence examples for cluster is introduced from inspiring English sources

Furthermore, when circle cluster is introduced, EMV is its special case that the block-sparsity is one.

The circle cluster is introduced to reduce the block-sparsity to one with the sub-block-length K (i.e., the sparsity level), while WCM has its sub-block uncertainty.

With the development of MGs, a new concept of interconnected microgrids system (IMS) (or microgrid cluster) is introduced which considers several MGs exchanging energy with each other even when the MGs are isolated from the utility grid.

The main differences between the proposed FAWC and WCM are given as following: (a) The circle cluster is introduced to reduce the block-sparsity to one with the sub-block-length K (i.e., the sparsity level), while WCM has its sub-block uncertainty.

To better understand the actual impact of randomness on the WTSN, a 'tortuosity' level of the multihop path along the hull of the percolating cluster is introduced as Δ = μ/n and analysed as a function of the probability pocc and the hop distance n (Figure6).

To further exploit this observation, the fls-gene cluster was introduced into three other heterologous hosts: S. albus J1074, Streptomyces lividans TK64, and Streptomyces pactum SCSIO 02999 XM47i31.

Using this integrative system, a cloned acarbose biosynthetic gene cluster was introduced into SE50/110, resulting in a 35% increase of acarbose titer from 2.35 to 3.18 g/L.

At first, we failed to obtain any recombinant E. coli when the dhaB cluster was introduced into lacIq-less pHA10 plasmid containing a constitutive tac promoter.

A new algorithm for revealing energy supply chain clusters is introduced, described and illustrated by a case study.

Finally, a case study of relational clustering is introduced where we apply proximity fuzzy clustering to the problem of clustering a set of trees derived from software requirements engineering.

(2) A novel weighting scheme based on PFCM clustering is introduced to assign weights to samples; unlike the traditional transductive learning-based "pseudo training dataset generating" method, this integration is more simple and principled.