In its simplest form, concerned with distances to the first nearest neighbor, NNA hinged on the behavior of the "nearest‐neighbour statistic," Rn, supposed to vary between 0 (complete clustering) and 2.15 (complete regularity). NNA and the wider body of work on point pattern analysis quickly...
In solving these problems, we propose a classification based on the nearest neighbour (a specific case of the k-NN method) from the similarity and distance metrics combined with the determination of the best threshold value to individualize the wheat mask. The nearest neighbour classification using...
In solving these problems, we propose a classification based on the nearest neighbour (a specific case of the k-NN method) from the similarity and distance metrics combined with the determination of the best threshold value to individualize the wheat mask. The nearest neighbour classification using...