wbt_k_means_clustering: K means clustering

In whitebox: 'WhiteboxTools' R Frontend

Description

Performs a k-means clustering operation on a multi-spectral dataset.

Usage

wbt_k_means_clustering(
  inputs,
  output,
  classes,
  out_html = NULL,
  max_iterations = 10,
  class_change = 2,
  initialize = "diagonal",
  min_class_size = 10,
  wd = NULL,
  verbose_mode = FALSE
)

Arguments

inputs	Input raster files.
output	Output raster file.
classes	Number of classes.
out_html	Output HTML report file.
max_iterations	Maximum number of iterations.
class_change	Minimum percent of cells changed between iterations before completion.
initialize	How to initialize cluster centres?.
min_class_size	Minimum class size, in pixels.
wd	Changes the working directory.
verbose_mode	Sets verbose mode. If verbose mode is False, tools will not print output messages.

Value

Returns the tool text outputs.

whitebox documentation built on Sept. 7, 2020, 3 p.m.