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All available software parameters were set to default values recommended by the vendor (α-parameter = 0.3, denoise parameter = 1.7, maximum kernel radius = 10, number of kernels = 12, maximum iterations = 20).
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Again, R is the kernel radius.
The user density ρ User depends on the kernel radius R of Equation 1.
where R is the kernel radius and defines the smoothing around the location r →.
Even bounded parametric kernel methods (e.g. Epanechnichov kernels) will always overshoot the data by an amount equal to the value of the kernel radius parameter h, no matter how dense the data.
Precision is also sensitive to the kernel radius because small values of R tend to generate multiple detections within the same true soma.
Table 4 lists σ for different kernel radii.
Figure 11 shows the linear regressions for different kernel radii.
It uses an efficient way to obtain an estimation for the maximum coagulation kernel from the mean kernel.
(e) Maximum pole radius for.
(c) Maximum pole radius for.
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