wbt_modified_k_means_clustering {whitebox} | R Documentation |
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 |
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: |
verbose_mode |
Sets verbose mode. If verbose mode is |
compress_rasters |
Sets the flag used by 'WhiteboxTools' to determine whether to use compression for output rasters. Default: |
command_only |
Return command that would be executed by |
Value
Returns the tool text outputs.