Sentence examples for multiple clustering results from inspiring English sources
Very diverse research fields frequently deal with the analysis of multiple clustering results, which should imply an objective detection of overlaps and divergences between the formed groupings.
Given multiple clustering results, we need to explore their information and output more robust results that can exploit the complementary nature of these patterns.
Jawed vertebrates also have multiple clusters resulting from several rounds of genome-duplication events that occurred early in the evolution of vertebrates and some specific lineages.
As different views are different representations of the same set of instances, we can simultaneously use information from multiple views to improve the clustering results generated by the limited information from a single view.
The consistent storage of clustering results from multiple different clustering methods in a single database enables users to easily compare the effects of the choice of clustering algorithm and the choices of organisms to cluster on the predicted protein families.
We also applied consensus hierarchical clustering to assess the stability of the clustering results by multiple runs of the clustering algorithm on resampled data [ 32, 33], and calculated consensus index as reported previously [ 33].
Further clustering of the entire dataset resulted in multiple clustering solutions (Rosenberg et al. 2002b).
The agreement between the clustering results based on multiple pathways and the original partitions was also evaluated by calculating the ARI.
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.
Based on the clustering results, we separate TCLs into multiple groups according to their calculated parameters.
Thus, applying symmetric NMF on consensus matrix could take into consideration the co-cluster strength of multiple clustering patterns and output a more comprehensive and robust result.
