Compute Jaccard similarity for sparse matrices

Computes pairwise Jaccard similarity between columns of a sparse matrix.

Usage

jaccard.sparse(mat, num_threads = -1)

Arguments

mat

A sparse matrix of class Matrix.

num_threads

Integer; number of threads to use. -1 uses all available cores.

Value

A numeric matrix of Jaccard similarity scores.

See also

mutual.rank

Examples

if (FALSE) { # \dontrun{
jac <- jaccard.sparse(mat)
} # }