Previously, these light pattern values were fitted by nonlinear regression analysis to absolute values provided by computed tomography.
In this pattern, the minimum drinking pattern value is equal to zero and means no alcohol use in the last month (and therefore no intoxication or binge drinking) and the maximum value is equal to the highest frequency of intoxication and binge drinking (and, consequently, also by high frequency of alcohol use).
As a result of this emerging alternating pattern, DCI values are very low (figure 2 c) and no linear hierarchies emerge (figure 2 e).
Results are shown for diversity (sigma ) = 0.1 and 0.3 and collaterality D. For pattern 120U, values are multiplied by a factor of 8 for better visibility.
For the speckle pattern the values are close to the bifurcation point.
The lines follow a familiar pattern: highest values are achieved closer to the detector (5 mm) with a subsequent decrease with lowest values at the mid-point (17 mm) following by a rise toward the source (25 mm).
In this type of cluster analysis, the distance between cases (persons) is calculated based on their values on the variables of interest (number of primary care visits during each of four years), and cases that are closest together in Euclidean space, i.e., that have the most similar pattern of values, are clustered together.
For the synthesis of controller, the fault time, patterns and values are unknown in advance, as motivated from a practical spacecraft control application.
The resulting expression patterns and ori/ter values are shown in Figure 3 and to facilitate comparisons replication patterns are also displayed.
For most patterns the equilibrium values are far from the bifurcation points, resulting in a stable pattern unaffected by noise.
