cluster_dbscan {daltoolbox} | R Documentation |
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
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
[Package daltoolbox version 1.0.767 Index]