Sentence examples for means for cluster from inspiring English sources

Cluster A2 means for sweet taste (1.2 versus 0.9) and water-like metallic (0.7 versus 0.9) were significantly higher (P < 0.01) and lower (P < 0.02), respectively, than means for cluster A1.

Another post-screening analysis method VISCANA, uses protein-ligand interactions as a means for clustering but lacks sufficient descriptions of van der Waals forces and hydrogen bond interactions which play an important role in receptor-ligand binding.

We solve this problem by interpreting locality sensitive hashing as a means for data clustering.

The methods described above are relevant but are incompatible with our problem because they provide no means for genome clustering.

Overall, means for these groups clustered together at all ages examined.

It was suggested that a binary masking scheme for the mask estimation is inadequate at encapsulating the inevitable reverberation present in any acoustic setup, and thus a more suitable means for clustering the observation data, such as the fuzzy c-means, should be considered.

PFGE data were analyzed by using BioNumerics version 4.6 (www.applied-maths.com/bionumerics/bionumerics.htm) with Dice coefficients and the unpaired pair group method with arithmetic means for clustering; tolerance and optimization parameters were set at 1%.

They were meant for small clusters of large machines while the modern approach focused on more large clusters that run relatively small machines.

More so they are meant for small clusters.

K-means for cluster sizes from 2 8 was run for 10,000 iterations, leaving out 15% of the data with each iteration (i.e. three randomly chosen samples left out).

Usually, as the result of a k-means clustering analysis, the means for each cluster on each dimension would be examined to assess how distinct k clusters are.