kmatdistmat: Compute distance matrix for lists of kanjimat objects

In kanjistat: A Statistical Framework for the Analysis of Japanese Kanji Characters

Compute distance matrix for lists of kanjimat objects

Description

Apply kmatdist to every pair of kanjimat objects to compute the unbalanced or balanced Wasserstein distance.

Usage

kmatdistmat(
  klist,
  klist2 = NULL,
  p = 1,
  C = 0.2,
  type = c("unbalanced", "balanced")
)

Arguments

klist	a list of kanjimat objects.
klist2	an optional second list of kanjimat objects.
p, C, type	the same as for the function kmatdist.

Value

A matrix of dimension length(klist) x length(klist2) having as its (i,j)-th entry the distance between klist[[i]] and klist2[[j]]. If klist2 is not provided it is assumed to be equal to klist, but the computation is more efficient as only the upper triangular part is computed and then symmetrized with diagonal zero.

See Also

kmatdist, kanjidistmat

Examples

kmatdistmat(fivetrees1)
kmatdistmat(fivetrees1, fivetrees1)  # same result but slower
kmatdistmat(fivetrees1, fivetrees2)  # note the smaller values on the diagonal

kanjistat documentation built on June 22, 2024, 10:35 a.m.