nnlink_K: Construct similarity graph by k-NNL
In gTests: Graph-Based Two-Sample Tests

This function provides the edges of the similarity graph constructed by k-NNL.

1	nnlink_K(distance,K)

`distance`	A K by K matrix, which is the distance matrix on the distinct values and K is the number of distinct values with at least one observation in either group.
`K`	Set the value of k in "k-NNL" to construct the similarity graph.

`E`	An edge matrix representing a similarity graph on the distinct values with the number of edges in the similarity graph being the number of rows and 2 columns. Each row records the subject indices of the two ends of an edge in the similarity graph.

gTests documentation built on May 2, 2019, 9:15 a.m.