simplicial_set_union | R Documentation |

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

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

`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 |

A sparse matrix containing the union of `x`

and `y`

.

# 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)

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