wbt_modified_k_means_clustering: Modified k means clustering

In whitebox: 'WhiteboxTools' R Frontend

Modified k means clustering

Description

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

Usage

wbt_modified_k_means_clustering(
  inputs,
  output,
  out_html = NULL,
  start_clusters = 1000,
  merge_dist = NULL,
  max_iterations = 10,
  class_change = 2,
  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.
out_html	Output HTML report file.
start_clusters	Initial number of clusters.
merge_dist	Cluster merger distance.
max_iterations	Maximum number of iterations.
class_change	Minimum percent of cells changed between iterations before completion.
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.

Value

Returns the tool text outputs.

whitebox documentation built on May 29, 2024, 1:21 a.m.