claraPD-methods: Clustering of Partial Discharge signals

In oscarperpinan/pdcluster: Partial Discharge Clustering

Description

Clustering of Partial Discharge signals with the clara method

Usage

## S4 method for signature 'PD'
claraPD(object, vars, useAngle = TRUE,
            nSims=25, nCl=7, metric='manhattan',
            noise.level=0.7, noise.rm=TRUE,
            seed=421)

Arguments

object	A PD or PDCluster object.
vars	Character vector with the names of the variables to be used.
useAngle	Logical. If TRUE the angle variable is included as an additional feature.
nSims	numeric, number of clara executions.
nCl	numeric, number of clusters.
metric	character, metric for the clara function.
noise.level	numeric, percentage threshold to consider a classification result as noise.
noise.rm	logical, should the noise results be removed?
seed	numeric, set.seed

Author(s)

Oscar Perpiñán Lamigueiro

oscarperpinan/pdcluster documentation built on May 24, 2019, 4:52 p.m.