alg2

<p>Estimates H+ for two sets (vectors) A and B, or
a dissimilarity matrix D and a label vector L.
Approximation is calculated using p+1 percentiles,
with an accuracy bound of 1/p.</p>

internal

Estimation procedures for assessing fitness of observation labels (i.e., clusters or partitions) given observation dissimilarities, or vice versa. The estimated parameter of interest is modified from G+ (Williams 1971), so we call it H+.

Nathan Dyjack

alg2: Algorithm 2 (grid_search) for H+ Estimate

Description

Usage

Arguments

Value