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...
The problem addressed in this paper concerns the ensembling generation for evidential k-nearest-neighbour classifier. An efficient method based on particle swarm optimization (PSO) is here proposed. We improve the performance of the evidential k-nearest-neighbour (EkNN) classifier using a random subsp...
2015. Measuring the scale of segregation using k-nearest neighbour aggregates. Geographical Analysis 47, 34-49.Osth, J., Clark, W. A. V., & Malmberg, S. (2015). Measuring the scale of segregation using k-nearest neighbor aggregates. Geographical Analysis, 47, 34-49....
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...