Sentence examples for expected clusters are from inspiring English sources

Independently of this open question, we can summarize: 1) the chromosome intersection seems to be a good replacement for the median and furthermore removes one input parameter from the method, as the intersection is a fixed statistical property of the chromosome; 2) the genome intersection may be used when the expected clusters are known to be not dependent on the chromosome.

Because the numbers of expected clusters were unknown, other clustering methods, including K-means clustering and self-organizing maps [reviewed in [ 21]], were not employed.

Finally, the expected cluster is generated by clustering, based on the K-Medoids.

Other drugs that deviated from the expected clustering were vindesine, estramustine, J1 and P2.

In practice, given the relatively low prevalence of IGT or IFG (15%), compared with 30% expected, clustering was less common than predicted.

First, the number of expected clusters can be determined by spectral clustering in a limited time.

Generating the initial cluster First, the number of expected clusters can be determined by spectral clustering in a limited time.

However, for a general approach to discerning clustering patterns this is unwise, as the expected clusters will not be known when poorly studied bacteria are examined.

For initial genotype calling generic a priori cluster positions were used since no information about expected cluster positions was available.

Based on the assumptions that 15% of eligible elders will decline informed consent and 20% will be lost to follow-up within the intervention-period of twelve months, the expected cluster size is 35.

As a result, the total number of expected clusters with multiple interactions is expected to be low at C- and H-levels.