Compute cluster distance summaries

The returned tibble contains the id of the cluster pairs, with benchmark distance (d1), minimum (d2) and maximum (d3) distances between any points in the two clusters.

getClusterDists(dmat, groups, benchmarks)

Arguments

dmat

distance matrix
groups

groups resulting from clustering
benchmarks

data frame with benchmark id and group number

Value

data frame with distance information