wbt_k_means_clustering {whitebox} | R Documentation |
Performs a k-means clustering operation on a multi-spectral dataset.
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 )
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. |
Returns the tool text outputs.