Heterogeneous Neighbors for class_graph Objects — heterogeneous

Compute the neighbors between different classes for a class_graph object.

Usage

heterogeneous_neighbors(x, X, k, weight_mode = "heat", sigma = 1, ...)

Arguments

x: A class_graph object.
X: The data matrix corresponding to the graph nodes.
k: The number of nearest neighbors to find.
weight_mode: Method for weighting edges (e.g., "heat", "binary", "euclidean").
sigma: Scaling factor for heat kernel if `weight_mode="heat"`.
...: Additional arguments passed to weight function.

Value

A neighbor_graph object representing the between-class neighbors.

Examples

labs <- factor(c("a","a","b","b"))
cg <- class_graph(labs)
X <- matrix(rnorm(8), ncol=2)
heterogeneous_neighbors(cg, X, k=1)
#> $G
#> IGRAPH cbb98a5 U-W- 4 3 -- 
#> + attr: weight (e/n)
#> + edges from cbb98a5:
#> [1] 1--4 2--3 2--4
#> 
#> $params
#> $params$weight_mode
#> [1] "heat"
#> 
#> $params$neighbor_mode
#> [1] "heterogeneous"
#> 
#> $params$k
#> [1] 1
#> 
#> $params$sigma
#> [1] 1
#> 
#> 
#> attr(,"class")
#> [1] "neighbor_graph"