clustRstab: A function to compute cluster stability

Description Usage Arguments

View source: R/clustRstab.R

Description

clustRstab() computes cluster stability as the arithmetic mean of the cluster comparision scores. It also computes sd, min, et max du score (by K). It makes a simple plot

Usage

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clustRstab(
  data,
  kVec,
  typeOfComp = "all",
  perturbedDataFun = clustRstab::subSample,
  clAlgo = clustRstab::clAlgoKmeans,
  clCompScore = aricode::MARI,
  nsim = 100,
  baseLineCorrection = FALSE,
  plot = TRUE,
  nProp = 0.7,
  pProp = 0.9,
  noiseGaussianMean = 0,
  noiseGaussianSD = 1,
  randProjMethod = "Haar",
  randProjDim = 10,
  mc.cores = 2
)

Arguments

data

a data frame dsfdsf dqsdqs

kVec

a vector for the successive number of group considered

perturbedDataFun

a function for perturbing the original data

clAlgo

a function: the clustering method used

clCompScore

dqsds

nsim

a scalar, the number of simulation performed to estimate the clustergin stability

baseLineCorrection

dada

plot

dazadz

nProp

azdzd

pProp

fsdfsd


MartinaSundqvist/clustRstab documentation built on Sept. 23, 2020, 10:55 p.m.