DBSCAN {fdm2id}

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)