sparse_pairwise: Compute similarity between pairs of rows of a matrix

In matric: Metrics for Similarity Matrices

Compute similarity between pairs of rows of a matrix

Description

sparse_pairwise computes similarity between pairs of rows of a matrix.

Usage

sparse_pairwise(X, id1, id2, pairwise_function, use_furrr = FALSE)

Arguments

X	matrix
id1	vector of integers specifying the list of rows of X (first set)
id2	vector of integers specifying the list of rows of X, (second set), same length as id1.
pairwise_function	function that takes a matrix and a pair of indices specifying rows of the matrix, and computes an operation of each pair of rows
use_furrr	boolean indicating whether to use the furrr library for parallel processing.

Value

data.frame with the same number of rows as the length of id1 (and id2) containing the similarity between the pairs of rows of X. sim[i] == pairwise_function(X[id1[i], ], X[id2[i], ]).

matric documentation built on April 1, 2023, 12:19 a.m.