Sentence examples for means for clustering from inspiring English sources

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.

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%.

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.

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

STREAM is selected to compare with DCSTREAM because it exploits k-means for clustering stream of data.

In this study, we design and experiment a parallel k-means algorithm using MapReduce programming model and compared the result with sequential k-means for clustering varying size of document dataset.

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

*P<0.05 for difference with respect to control group; P values for difference in means adjusted for clustering standard errors at municipality level.

In this paper, we propose a new k-means type smooth subspace clustering algorithm named Time Series k-means (TSkmeans) for clustering time series data.

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