Jaccard subgroup similarity index

This function computes the Jaccard similarity index between two vectors of subgroup membership labels, scaling it such that each leaf node contributes equal weight to the overall similarity.

Usage

jaccardSSI(x, y)

Arguments

x

Numeric vector of subgroup memberships. Must be encoded as integers, beginning at 0 and be contiguous (i.e., if there are k unique values, they must be 0, 1, ..., k-1).

y

Numeric vector of subgroup memberships Must be encoded as integers, beginning at 0 and be contiguous (i.e., if there are k unique values, they must be 0, 1, ..., k-1).

Value

Computed Jaccard subgroup similarity metric