DBSCAN: DBSCAN clustering method

In fdm2id: Data Mining and R Programming for Beginners

DBSCAN clustering method

Description

Run the DBSCAN algorithm for clustering.

Usage

DBSCAN(d, minpts, epsilonDist, ...)

Arguments

d	The dataset (matrix or data.frame).
minpts	Reachability minimum no. of points.
epsilonDist	Reachability distance.
...	Other parameters.

Value

A clustering model obtained by DBSCAN.

See Also

dbscan, dbs-class, distplot, predict.dbs

Examples

require (datasets)
data (iris)
DBSCAN (iris [, -5], minpts = 5, epsilonDist = 1)

fdm2id documentation built on July 9, 2023, 6:05 p.m.