Sentence examples for cluster ordering from inspiring English sources

The biggest downside of k-means clustering algorithm is the random cluster ordering on the output; however, this information can be indirectly accessed by looking at the average distance between clusters (based on the supplied metric) as well as the number of points in the cluster.

The heatmaps of the eighteen largest clusters with >20 transcripts are shown in Figure 2. The heatmaps and the complete list of genes belonging to each cluster, ordered by cluster size, are available in Supplemental File S3 and in the FunGenES database under the heading "Global Clusters".

The SOM ordering used to influence the hierarchical clustering ordering helped with this problem, but there are other ways to improve classification accuracy.

The order-dependent nature of the DISE clustering method results in clusters ordered by a property of interest to the teams.

Consequently, several hypotheses were proposed to explain those unexpected experimental results, including particle Brownian motion, particle clustering, ordered liquid layer, and dual-phase lagging [18, 21, 25 28].

Vice versa, the 94 NSCLC were cluster-ordered across the resistance factors.

Two-dimensional hierarchical clustering ordered the phenotypes and diseases based on the similarity of the pattern profiles of shared chemicals.

The 16 resistance factors were cluster-ordered on the basis of their expression pattern across the 94 NSCLC.

The algorithm returns a list of clusters ordered by coverage, i.e. the number of interactions associated to each cluster (see Methods for a more detailed description).

The temporal transcript profiles were grouped into 6 clusters ordered by the number of DEGs included (Fig. 2 and Table S3).

Clustering ordered proteins on the horizontal axis, and tumor samples on the vertical axis on the basis of similarity of their expression profiles.