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The observed clustering patterns were assessed using principal component analysis and k means analysis.

We used survey adjusted univariate and means analysis to calculate population demographics.

The gap statistic and K means analysis were used to distinguish gene clusters as described previously [ 47, 48].

Figure 5 plots the groups derived from the K-means analysis and Table 1 shows the number of counties in each cluster by K-means analysis.

Comparative analysis with the outputs from two popular clustering techniques K-means analysis and a two-step Factor analysis/K-means procedure are also included.

This posterior classification from discriminant analysis can be compared with the a priori classification from K-means analysis, and the classification accuracy can be used to indicate how good the set of independent variables are in distinguishing the four groups.

The value of (P_{mathrm{max}}) was determined by variance-mean analysis, and it is 0.85 for the control data and 0.27 for the muscarine data.

Each category was further divided into 2 to 5 clusters within each GO category through K-means analysis and resulted in a total of 68 sub-clusters (Called FunGroup).

The normalized values of hybridization signal in log2 were used in K-means analysis, and the heatmap was generated base on the difference from the mean of the values of each gene.

Differentiation means comprehensive analysis, and syndrome refers to symptoms and signs.

Sure, but that doesn't mean her analysis, and her concern about journalism, is wrong.

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