View source: R/machine_learning.R
wbt_dbscan | R Documentation |
Performs a DBSCAN-based unsupervised clustering operation.
wbt_dbscan(
inputs,
output,
scaling = "Normalize",
search_dist = 0.01,
min_points = 5,
wd = NULL,
verbose_mode = NULL,
compress_rasters = NULL,
command_only = FALSE
)
inputs |
Names of the input rasters. |
output |
Name of the output raster file. |
scaling |
Scaling method for predictors. Options include 'None', 'Normalize', and 'Standardize'. |
search_dist |
Search-distance parameter. |
min_points |
Minimum point density needed to define 'core' point in cluster. |
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 |
Returns the tool text outputs.
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