Sentence examples for tight clustering from inspiring English sources

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The tight clustering, the alternative use of unmodulated pink and blue in the background, and the consistency of size and subject matter give this installation the look of a quilt, because it documents the artist's family history so meticulously.

Representative Christopher Shays, a Connecticut Republican, became interested in the existing investigation's findings that the tight clustering and thin encasement of escape stairways made them susceptible to being severed all at once, trapping people above the impact zones of the hijacked jets that brought the towers down.

The tight clustering of the site-mean directions in the directional group raises the question of potential remagnetization.

Complete homogenization of type 2a inclusions in sample Gran-1b occurred at temperatures between 288 and 385°C, and there was a tight clustering of homogenization temperatures at 344 ± 15°C (Figure 7).

More specifically, notice the tight clustering of border strengths for Abidjan under the Tribal partitioning (Figure 8A) versus more widely distributed border strength values for the rest of Ivory Coast.

Despite a tight clustering and older 40Ar/39Ar ages, we cannot rule out the possibility of partial resetting of 40Ar/39Ar ages in the plagioclase lithic fragments from regolith.

(B) The ST-Scales on the other hand perform the least well, and it can be hypothesized that the tight clustering in one part of the plot does not correlate to bioactivity space.

While these substitutions were responsible for their tight clustering, they were not shared with RedDB.

The tree also shows tight clustering of single L. borgpetersenii and L. meyeri isolates with the L. interrogans cluster.

This analysis of the Ste20p physical interactors also highlights a tight clustering of proteins related to polarized growth (Figure 5, Figure S3).

Also, unlike tight clustering which produces a large number of clusters whose interrelationships are not known, nMDS gives a clear picture of the relationships between data points across time.

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