Fdbscan: A Fdbscan sampler using R

In SC19031/SC19031: DBSCAN

Description

Fdbscan is a method for preliminary clustering of given data based on DBSCAN algorithm

Usage

Fdbscan(data, eps, M)

Arguments

data	a data matrix or a dist object
eps	size of the epsilon neighborhood
M	number of minimum points in the eps region (for core points)

Value

An object of class 'dbscan_fast'

Examples

## Not run: 
data<-iris[,1:2]
m<-Fdbscan(data,0.25,3)
m

## End(Not run)

SC19031/SC19031 documentation built on Jan. 3, 2020, 2:10 a.m.