Suggest eps Parameter for DBSCAN — suggest_eps • tidylearn

Use k-NN distance plot to suggest eps value

Usage

suggest_eps(data, minPts = 5, method = "percentile", percentile = 0.95)

Arguments

data: A data frame or matrix
minPts: The minPts you will pass to tidy_dbscan (default: 5). The k-NN distance is read at k = minPts - 1, the neighbours a core point needs besides itself, as kNNdistplot does.
method: Method to suggest eps: "percentile" (default), "knee"
percentile: If method="percentile", which percentile to use (default: 0.95)

Value

A list containing:

eps: suggested epsilon value
knn_distances: full tibble of k-NN distances
method: method used

Examples

eps_info <- suggest_eps(iris, minPts = 5)
eps_info$eps
#> [1] 0.7179749