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Vignette on the usage of DBCVindex

This vignette documents how to use the DBCVindex library in R. The DBCV index is a coefficient that assesses the results of clustering results, taking into account the density-based components of clustering.

Let’s suppos you have the moons data and that you want to apply the HDBSCAN algorithm with 5 minimal points to them:

if (!requireNamespace("pacman", quietly = TRUE)) {
  install.packages("pacman")
}

library("pacman")
p_load("DBCVindex, dbscan")

data("moons")
these_minimal_points <- 5
clustering_results <- hdbscan(moons, minPts = these_minimal_points)

You can calculate the DBCV of HDBSCAN clusters this way:

cat("DBCV index = ", dbcv_index(moons, clustering_results$"cluster"), " in the [-1;+1] interval\n", sep="")

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