cluster_dbscan: DBSCAN

In daltoolbox: Leveraging Experiment Lines to Data Analytics

DBSCAN

Description

Creates a clusterer object that uses the DBSCAN method It wraps the dbscan library.

Usage

cluster_dbscan(minPts = 3, eps = NULL)

Arguments

minPts	minimum number of points
eps	distance value

Value

returns a dbscan object

Examples

# setup clustering
model <- cluster_dbscan(minPts = 3)

#load dataset
data(iris)

# build model
model <- fit(model, iris[,1:4])
clu <- cluster(model, iris[,1:4])
table(clu)

# evaluate model using external metric
eval <- evaluate(model, clu, iris$Species)
eval

daltoolbox documentation built on Nov. 3, 2024, 9:06 a.m.