fdm2id (version 0.9.5)

DBSCAN: DBSCAN clustering method

Description

Run the DBSCAN algorithm for clustering.

Usage

DBSCAN(d, minpts, eps, ...)

Arguments

d

The dataset (matrix or data.frame).

minpts

Reachability minimum no. of points.

eps

Reachability distance.

...

Other parameters.

Value

A clustering model obtained by DBSCAN.

See Also

dbscan, dbs-class, distplot, predict.dbs

Examples

# NOT RUN {
require (datasets)
data (iris)
DBSCAN (iris [, -5], minpts = 5, eps = 1)
# }