Sentence examples for clustering off from inspiring English sources

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Nor have I seen waitresses clustering off to the side, gossiping and sneaking drinks of wine.

Similar(59)

In Ca Mg Na cation triangle samples clustered off-center towards Sodium type groundwater.

Words are clustered off-line and then the word classes are embedded into the output layer to estimate the class-based language model, where the RNN is used to estimate the conditional probability of classes and words.

When multiple neurons were recorded, spikes were sorted and clustered off-line, based on a principle component analysis of the resulting voltage waveforms using the Plexon off-line sorter (Plexon Inc., Dallas, Texas).

APOBEC3, another APOBEC family member was recently found to be implicated in initiating clustered off-target mutations in CLL [34].

They argue that many problems -- detailed weather prediction, the behavior of the Internet, an atomic perspective on how proteins behave or what happens to the organs and other soft tissues of passengers in auto crashes -- need much more rapid data sharing than Internet grids or even dedicated clusters of off-the-shelf computers can generate.

The number of overlapped patients in the 3 × 3 table provides evidence of homogeneity (majority of patients are on the diagonal; for example, mRNA vs miRNA in Additional file 1: Figure S8(a)) or heterogeneity (existence of clusters off-diagonal as shown in Additional file 1: Figure S8(a), (b) and Fig.  4).

On the other hand, the user can completely turn off clustering.

Standard agglomerative hierarchical clustering starts off clustering this data by putting each of the data objects x i in a singleton cluster C{ i } = { x i } and then keeps on joining the closest pair of clusters C{ i } ∪ C{ j } = C{ i, j } until there is only one large cluster C{1,2,..., n }.

The operation unit (OTU) with 97% similarity and clustering cut off the Chimerical sequences was used to identify and exclude with UPARSE (7.1Version http://drive5.com/uparse/).

The core regions were sorted into clusters according to their pair-wise nucleotide sequence identity using the program GROUPER (unpublished software, 2004; Armstrong, JS and Gibbs, AJ) with a clustering cut off point of 85% identity.

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