Sentence examples for accuracy of clusters from inspiring English sources

The phrase "accuracy of clusters" is correct and usable in written English.
It can be used in contexts related to data analysis, machine learning, or statistics when discussing how precise or correct the groupings of data points are.
Example: "The accuracy of clusters in our analysis indicates how well the algorithm has grouped similar data points together."
Alternatives: "precision of clusters" or "correctness of clusters".

Exact(2)

Clustering and the accuracy of clusters remain secondary issues to that of relevance when similarity approaches are explored in the context of biomedical literature [15], [16], [17].

We adopt the widely used metric F-measure (Li et al., 2010) to evaluate the accuracy of clusters produced.

Similar(58)

Just as the JDAM enhanced the precision of gravity bombs, a similar device called the Wind Corrected Munitions Dispenser has improved the accuracy of cluster bombs.

In general, data normalization is useful to generate good clusters and to improve the accuracy of clustering.

In this case, increase the times to repeat the clustering with different set of initial cluster centroid positions can improve the accuracy of clustering results.

The accuracy of clustering is also good and it has the potential to increase the quality of tasks that can be clustered.

Obviously, the bottleneck of clustering-based approaches is the data clustering stage because the quality of parameter estimation and region reconstruction depend on the accuracy of clustering.

We then test how prediction accuracy of clustering transfer methods is affected by the number of clusters in all five personality traits.

The significance of distance calculation for sub trajectories is to clearly reveal the differences in moving trajectories and to promote the accuracy of cluster algorithm.

The accuracy of clustering itself depends on three factors: (1) initialization, (2) outliers, and (3) knowing the exact number of subsystems.

This result indicates that human input is required to improve the accuracy of clustering, even though it takes more time to process the retrieved information.

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