CMLA

doc: enet_greedy

Compute an $\epsilon$-net of Xt given the distance matrix

Syntax

 [N, eNet] = enet_greedy(D2, e, eNetInit)

Arguments

  • D2 matrix (n, n) of canonical squared distance
  • e scalar for $\epsilon$
  • eNetInit vector (1, N) of indices of points in the initial $\epsilon$-net

Outputs

  • N scalar for the size of the final $\epsilon$-net
  • eNet vector (1, N) of indices of points in the final $\epsilon$-net

See also

gp_dist | chaining_tree