Sentence examples for clustering of existing from inspiring English sources

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"Numerous councils have set curbs on new fast food outlets - but current legislation means they lack planning powers to tackle the clustering of existing takeaways already open.

Clustering of existing transposases in the genomes is statistically significant and corresponds to regions lacking synteny with the other two strains.

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The analysis comprises a cluster of existing residential buildings.

In Far Rockaway, FPL Energy, a Florida company, would build a 55-megawatt power plant next to a cluster of existing plants.

We have modelled these factors into five categories of seats: These are constituencies where Ukip scores high on all metrics: top of the polls, favourable demographics and strong clusters of existing support.

The National People's Congress attempted to streamline the Chinese government by creating new superministries under the State Council extracted from clusters of existing specialized ministries.

His vision of clusters of existing towns and new garden cities to form new dynamic city regions in the north-west, the Midlands and the south-east of England won his team a commendation in the Wolfson economics prize competition in May 2014.

Recently, Tao and colleagues [17] extended this idea proposed by Lord in information retrieval and based their method on measurement of the distances between clusters of existing GO annotations which are shared by sequences.

SDH-Net consists of a strong and diverse consortium, based on clusters of existing networks of academic institutions from Brazil, Colombia, Mexico, Kenya, South Africa, and Tanzania, in close complementary collaboration with European partners in Spain, Switzerland, the United Kingdom, and Germany.

At first glance, it may seem that we can tune the clustering parameters of existing graph clustering techniques in order to generate multiple facets or decompositions.

This clearly indicates that clusters of unequal size do not result by chance but reflect distinct dependencies within S. The sensitivity of clustering to existing structures within S is also reflected in target function q(S), as can be seen by comparing matrices S from MD and their randomly rearranged counterparts; see Figure 14.

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