wbt_dbscan: Dbscan

View source: R/machine_learning.R

wbt_dbscanR Documentation

Dbscan

Description

Performs a DBSCAN-based unsupervised clustering operation.

Usage

wbt_dbscan(
  inputs,
  output,
  scaling = "Normalize",
  search_dist = 0.01,
  min_points = 5,
  wd = NULL,
  verbose_mode = NULL,
  compress_rasters = NULL,
  command_only = FALSE
)

Arguments

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: 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.


whitebox documentation built on May 29, 2024, 1:21 a.m.