init_kmeans: computes k-means from nb_partitions subsets taken from...

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

computes k-means from nb_partitions subsets taken from dataPCA

Description

computes k-means from nb_partitions subsets taken from dataPCA

Usage

init_kmeans(
  dataPCA,
  nb_partitions,
  nbclusters,
  nbCPU = 1,
  algorithm = "Hartigan-Wong",
  progressbar = FALSE
)

Arguments

dataPCA	numeric. initial dataset sampled from PCA image
nb_partitions	numeric. number of k-means then averaged
nbclusters	numeric. number of clusters used in kmeans
nbCPU	numeric. Number of CPUs available
algorithm	character. algorithm used in the kmeans clustering
progressbar	boolean. should progress bar be displayed (set to TRUE only if no conflict of parallel process)

Value

list of centroids and parameters needed to center/reduce data

jbferet/biodivMapR documentation built on April 25, 2024, 10:44 p.m.