Sentence examples for cluster completeness from inspiring English sources

We compare discovered types to known types via cluster comparison metrics: cluster homogeneity, cluster completeness, and the ARI.

These orthologs are then adopted or rejected to optimize cluster completeness and quality (e.g., similarity to a reference sequence or average pairwise similarity).

It has been suggested that particularly the Hox gene clusters are, typically, maintained more or less intact, because they are likely to be strongly regulated by sequential activation and cluster completeness is necessitated by corrected interdigitated gene control [ 58].

To assess the accuracy of a clustering compared to that determined by neuroanatomists, we employ three metrics clustering homogeneity, clustering completeness, and the ARI.

The completeness cluster for machine-generated sources includes the completeness and significance dimensions.

To address this concern we have expanded the set of metrics we use to quantify clustering considering ARI, completeness, and homogeneity.

Nodes are colored orange (complete cluster), purple and teal (partial deletion) and green (complete deletion) based on completeness of the aflatoxin gene cluster.

Table 6 Clusters of dimensions for machine-generated big data sources Cluster References Accuracy [38] Completeness, Significance [38] Consistency [38, 47] Trustworthiness [38] Freshness [38] Dimensions in italic are representative of the cluster.

With the objective of producing the highest quality h-index estimates, this measure seamlessly replaces the typical recall measure as a way to evaluate the completeness of clusters.

Judging from the results of the GEMS analyses of random positive promoter sets, the top 20 motifs possessing the lowest p-values from each of the 21 clusters were retained for completeness (420 motifs) [ 33].

In contrast, the clustering rate of drug-resistant TB was likely underestimated in our one-year molecular epidemiologic survey because the clustering proportion depends on the completeness of sampling, where increasing sampling fractions will identify more clustering [ 39, 41].