whitebox (version 2.1.0)

wbt_k_means_clustering: 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 = FALSE,
  compress_rasters = 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.

compress_rasters

Sets the flag used by WhiteboxTools to determine whether to use compression for output rasters.

Value

Returns the tool text outputs.