clustRstab: A function to compute cluster stability

In MartinaSundqvist/clusterStability:

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

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/clusterStability documentation built on Dec. 12, 2020, 9:29 p.m.