Specifically, OKNN was used to automatically determine the best number of nearest neighbors for each position in the area under consideration, and WKNN helped improve the errors that come from the ...

The k-nearest neighbors algorithm (kNN) is renowned for solving classification tasks. The notion of kNN is to seek similar data instances in the dataset as prediction reference, for which the ...