get_kmeans: computes k-means from nbIter subsets taken from dataPCA

In jbferet/biodivMapR: biodivMapR: an R package for a- and ß-diversity mapping using remotely-sensed images

computes k-means from nbIter subsets taken from dataPCA

Description

computes k-means from nbIter subsets taken from dataPCA

Usage

get_kmeans(
  rast_sample,
  nbIter,
  nbclusters = 50,
  nbCPU = 1,
  algorithm = "Hartigan-Wong",
  progressbar = TRUE
)

Arguments

rast_sample	numeric. initial dataset sampled from PCA image
nbIter	numeric. nb of iterations averaged to compute diversity indices
nbclusters	numeric. number of clusters used in kmeans
nbCPU	numeric. Number of CPUs available
algorithm	character. algorithm used in the kmeans clustering
progressbar	boolean. set true for progress bar during clustering

Value

list of centroids and parameters needed to center/reduce data

jbferet/biodivMapR documentation built on April 12, 2025, 1:32 p.m.