The choice of the optimal order of the neighborhood for separation a spatial point pattern into a cluster and noise component (by the example of analysis of location of antique settlements in the Kerch Peninsula)
Journal: InterCarto InterGIS
Year: 2020

When allocating spatial clusters of point objects, the problem of noise in the data often arises. This noise prevents clear boundaries of the clusters. One of the popular methods for separating the cluster and noise components of a point image is NNCR (Nearest Neighbor Clutter Removal), proposed in 1998 by Bayers and A.E. Raftery. The method is based on using the distance to the nearest neighbor in the calculations. The result of applying NNCR is highly dependent on the user selected neighborhoo