Then, K-nearest neighbor (KNN) is used to estimate the probability density of each cluster and calculate the expected affine matrix for each coordinate point. In clustering and probability density ...

K-nearest neighbors (KNN): KNN is a classification algorithm (Liu et al., 2019). To determine the category of an unknown sample, KNN uses all the samples of the known categories as references and ...