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Modified k means clustering

Source: R/machine_learning.R
wbt_modified_k_means_clustering.Rd

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.