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This term measures the Euclidean distance of the calculated cluster center from the actual constellation point and normalizes it with respect to power of the signal.
Using the same gene distribution as our irrigated field clusters, we calculated cluster means for the PND.
When the ratios of acylcarnitines to C0 was calculated, cluster A had far greater ratios than that of cluster B (p<0.01).
Looking at the clustering process implemented, we have described how the system dynamically calculates all the clusters when a new patient starts the treatment, instead of assigning a new patient to an already calculated cluster.
When the distance matrix was calculated, CLUSTER 3.0 worked based on the average linkage clustering algorithm in which the average of pairwise distances in two clusters is used to build the hierarchical clustering tree.
We calculated cluster adjusted rate ratios and 95% confidence intervals using binomial regression in a generalised estimating equation to regress the risk of death as a function of assigned treatment group.
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Now for k>k*, one of the calculated clusters would partition one or more of the actual groups, which should tend to provide smaller likelihood increases.
To assess the discriminative ability of the risk model within centers we first calculated cluster-specific c-indexes.
However, since the variables taken into account to define the clusters are not many, and the amount of patients included in the process is considerably high, we presume that the number of calculated clusters might be tending to stabilization.
These dendrograms led to calculating cluster frequencies.
Representing dendrograms in graph theoretical terms allowed us to introduce four measures of cluster frequency in a canonical way, and use them to calculate cluster frequencies over the set of all possible dendrograms, taking all ties in proximity into account.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com