fpc.clusterboot: Resampling according to the methods discussed in Hennig...

In ClusBoot: Bootstrap a Clustering Solution to Establish the Stability of the Clusters

Resampling according to the methods discussed in Hennig (2007)

Description

Resampling according to the methods discussed in Hennig (2007)

Usage

fpc.clusterboot(
  data,
  B,
  distances = (inherits(data, "dist")),
  bootmethod = "boot",
  bscompare = TRUE,
  multipleboot = FALSE,
  jittertuning = 0.05,
  noisetuning = c(0.05, 4),
  subtuning = floor(nrow(data)/2),
  clustermethod,
  noisemethod = FALSE,
  count = TRUE,
  seed = NULL,
  datatomatrix = TRUE,
  ...
)

Arguments

data	a data matrix or distance object which will be the input to the clustering function
B	number of bootstrap replicates
distances	see ?fpc::clusterboot
bootmethod	see ?fpc::clusterboot
bscompare	see ?fpc::clusterboot
multipleboot	see ?fpc::clusterboot
jittertuning	see ?fpc::clusterboot
noisetuning	see ?fpc::clusterboot
subtuning	see ?fpc::clusterboot
clustermethod	see ?fpc::clusterboot
noisemethod	see ?fpc::clusterboot
count	see ?fpc::clusterboot
seed	see ?fpc::clusterboot
datatomatrix	see ?fpc::clusterboot
...	additional arguments to be sent to the function specified in clustermethod

Value

a list with two components; boot.out contains the computations for clusboot and out contains the clustering solution of the original data set

ClusBoot documentation built on Oct. 17, 2023, 5:11 p.m.