K-nearest neighbor search identifies the top k nearest neighbors to the
query. This technique is commonly used in predictive analytics to
estimate or classify a point based on the consensus of its neighbors.
K-nearest neighbor graphs are graphs in which every point is connected
to its k nearest neighbors.