edge_count_global_variables: Transform distance matrix in edge properties of minimal...

In ilovato/nevada: Network-Valued Data Analysis

Transform distance matrix in edge properties of minimal spanning tree

Description

Transform distance matrix in edge properties of minimal spanning tree

Usage

edge_count_global_variables(d, n1, k = 1L)

Arguments

d	A matrix of dimension (n1+n2)x(n1+n2) containing the distances between all the elements of the two samples put together.
n1	An integer giving the size of the first sample.
k	An integer specifying the density of the minimal spanning tree to generate.

Value

A list of edge properties of the minimal spanning tree.

Examples

n1 <- 30L
n2 <- 10L
gnp_params <- list(p = 1/3)
k_regular_params <- list(k = 8L)
x <- nvd(model = "gnp", n = n1, model_params = gnp_params)
y <- nvd(model = "k_regular", n = n2, model_params = k_regular_params)
d <- dist_nvd(x, y, representation = "laplacian", distance = "frobenius")
e <- edge_count_global_variables(d, n1, k = 5L)

ilovato/nevada documentation built on Sept. 12, 2023, 8:12 a.m.