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The classical scanning technique is used to identify the region of applicable operating parameters.
In contrast to classical scanning procedures, neither the shape, size, nor centroid location have to be specified by the users.
ODT-models improve the classical scanning procedures by detecting potential disease clusters independently of any specification of the shapes, sizes or centers of the clusters.
In conclusion, Oblique Decision Tree is a new approach for spatial pattern detection and has the following features: - ODT improve the classical scanning procedures by providing polygonal potential clusters; - ODT are not bound by fixed centroid locations, sizes or shapes.
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But, their method uses the classical scan mask, which produces an unbalanced decision tree as described in previous section.
This is an operation in the classical two-scan labeling algorithm which accesses the pixels sequentially in raster scan order to find the eight-connectivity using the pixel-based scan mask, as shown in Figure 1 [5].
Findings show good qualitative agreement with classical hydrophone scans.
A method of multiple small potential steps was applied to obtain current potential curves at a rotating disk electrode (RDE), which is more accurate than the classical potential scan RDE method.
In order to detect potential disease clusters where a putative source cannot be specified, classical procedures scan the geographical area with circular windows through a specified grid imposed to the map.
A classical genome scan, however somewhat sparse, was done to identify QTL regions and in addition, a haplotype analysis to confirm the QTL association as well as identify haplotypes to reduce the level of boar taint.
A genome-wide classical QTL scan was performed using the linkage maps built in our material in a previous study [ 28] and 8,417 SNPs evenly mapped across the 18 autosomes with the mean distances reported in Fernández et al. [ 39].
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