whitebox (version 0.1.0)

k_means_clustering: K means clustering

Description

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

Usage

k_means_clustering(inputs, output, classes, out_html = NULL,
  max_iterations = 10, class_change = 2, initialize = "diagonal",
  min_class_size = 10, 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.

verbose_mode

Sets verbose mode. If verbose mode is False, tools will not print output messages.

Value

Returns the tool text outputs.