wbt_k_means_clustering: K means clustering
In whitebox: 'WhiteboxTools' R Frontend

wbt_k_means_clustering

R Documentation

K means clustering

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 = NULL,
  compress_rasters = NULL,
  command_only = FALSE
)

Arguments

`inputs`	Input raster file paths, concatenated with `","` or `";"`. See `wbt_file_path()` for details.
`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. Default: `NULL` will use the value in WhiteboxTools settings, see `wbt_wd()` for details.
`verbose_mode`	Sets verbose mode. If verbose mode is `FALSE`, tools will not print output messages. Default: `NULL` will use the value in WhiteboxTools settings, see `wbt_verbose()` for details.
`compress_rasters`	Sets the flag used by 'WhiteboxTools' to determine whether to use compression for output rasters. Default: `NULL` will use the value in WhiteboxTools settings, see `wbt_compress_rasters()` for details.
`command_only`	Return command that would be executed by `system()` rather than running tool. Default: `FALSE`.