Sentence examples for clustering running from inspiring English sources

However, agglomerative clustering (running time complexity O(n3)) is computationally efficient than divisive clustering algorithm (running time complexity O(2n)).

Even after clustering, running all-versus-all BLAST on uniref50 would take another ≈6,000 CPU-hours (data not shown).

We used an admixture model of genetic clustering run for 106 generations after a burn-in of 105 generations.

Signature 2 gives clear risk stratification in all data sets, all P-values of the 1000 clustering runs <0.05.

The consensus clustering algorithm aims at producing robust clustering results by averaging over multiple clustering runs such that the sensitivity to settings and initialization are diminished.

On testing datasets, our method LRAcluster (low-rank approximation based multi-omics data clustering) runs much faster with better clustering performances than the existing method.

Clustering ran for a total of 50 iterations and was considered complete when probe sets were no longer exchanged between clusters.

The clustering takes increasing time for different numbers of clusters, but we limited each clustering run to ∼1 h (while relying on multiple initialization as a guard against local minima).

The range and standard deviations of the 1000 clustering runs also show that the results are robust for these data sets and that the splitting patients based on clustering of signature scores is stable.

We run experiments on selected species using a Hadoop computing cluster running Spark.

Figure 6 Network utilization of Hadoop mobile cluster running 1 GB TeraSort workload.