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RF++ is shown to be an effective alternative for classifying both clustered and non-clustered data.
Incidence rates over time were calculated for both clustered and non-clustered (unique genotype) patients.
Both clustered and non-clustered case incidence rates were seen to increase with lower SES quartile, with those patients living in the lowest SEP quartile at measurably higher risk for clustering.
Clustered case incidence rates increased with lower SEP index, with the greatest increases in rates when going from low to very low SEP quartiles among both clustered and non-clustered cases and with low incidence rates observed among clustered patients living in the highest SEP quartile.
** Pooling of non-Somali-Greenlandic migrants For estimation of transmission proportions (Table 5), only TB cases in mixed clusters (Danes/migrants) were considered likely MTB infected by the "opposite" ethnic group (numerator), but all genotyped TB cases (both clustered and non-clustered) were considered likely MTB infected (denominator).
We investigate both clustered (where no direct communication between sensors and the Communication and Control center, C2, is allowed and intermediate data fusion is performed at Cluster Heads, CHs) and unclustered (with direct communications between sensor nodes and the C2).
Similar(29)
Both clustering ensemble and semi-supervised clustering techniques have been emerged to improve the clustering performance of unsupervised clustering algorithms.
Both clustering methods used fuzzy c-means clustering [ 20].
However, both clustering analyses all showed some admixture between populations.
Robust and biologically relevant co-expression networks should be identified by both clustering methods.
Both datasets were clustered hierarchically, using complete linkage clustering.
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