simplicial_set_union: Merge Similarity Graph by Simplicial Set Union

In jlmelville/uwot: The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction

Merge Similarity Graph by Simplicial Set Union

Description

Combine two similarity graphs by treating them as fuzzy topological sets and forming the union.

Usage

simplicial_set_union(x, y, n_threads = NULL, verbose = FALSE)

Arguments

x	A sparse matrix representing the first similarity graph in the union operation.
y	A sparse matrix representing the second similarity graph in the union operation.
n_threads	Number of threads to use when resetting the local metric. Default is half the number of concurrent threads supported by the system.
verbose	If TRUE, log progress to the console.

Value

A sparse matrix containing the union of x and y.

Examples

# Form two different "views" of the same data
iris30 <- iris[c(1:10, 51:60, 101:110), ]
iris_sg12 <- similarity_graph(iris30[, 1:2], n_neighbors = 5)
iris_sg34 <- similarity_graph(iris30[, 3:4], n_neighbors = 5)

# Combine the two representations into one
iris_combined <- simplicial_set_union(iris_sg12, iris_sg34)

# Optimize the layout based on the combined view
iris_combined_umap <- optimize_graph_layout(iris_combined, n_epochs = 100)

jlmelville/uwot documentation built on April 19, 2024, 9:31 p.m.