SAGA-GIS Tool Library Documentation (v6.1.0)

Tool Cluster Analysis for Point Clouds

Cluster analysis for point clouds.

References:

This tool is a port of the 'Cluster Analysis for Grids' tool from the 'Imagery - Classification' tool library, Copyright (C) 2003 by Olaf Conrad.

Iterative Minimum Distance:
- Forgy, E. (1965):
'Cluster Analysis of multivariate data: efficiency vs. interpretability of classifications',
Biometrics 21:768

Hill-Climbing:- Rubin, J. (1967):
'Optimal Classification into Groups: An Approach for Solving the Taxonomy Problem',
J. Theoretical Biology, 15:103-144

Parameters

 NameTypeIdentifierDescriptionConstraints
InputPoint CloudPoint Cloud (input)PC_INInput-
OutputResult (*)Point Cloud (optional output)PC_OUTOutput-
StatisticsTable (output)STATISTICS--
OptionsAttributesTable fieldsFIELDSThe attribute fields to cluster-
MethodChoiceMETHOD-Available Choices:
[0] Iterative Minimum Distance (Forgy 1965)
[1] Hill-Climbing (Rubin 1967)
[2] Combined Minimum Distance / Hillclimbing
Default: 1
ClustersIntegerNCLUSTERNumber of clustersMinimum: 2
Default: 10
NormaliseBooleanNORMALISEAutomatically normalise attributes by standard deviation before clustering.Default: 1
(*) optional

Command-line

Usage: saga_cmd pointcloud_tools 11 [-PC_IN <str>] [-FIELDS <str>] [-PC_OUT <str>] [-STATISTICS <str>] [-METHOD <str>] [-NCLUSTER <num>] [-NORMALISE <str>]
  -PC_IN:<str>     	Point Cloud
	Point Cloud (input)
  -FIELDS:<str>    	Attributes
	Table fields
  -PC_OUT:<str>    	Result
	Point Cloud (optional output)
  -STATISTICS:<str>	Statistics
	Table (output)
  -METHOD:<str>    	Method
	Choice
	Available Choices:
	[0] Iterative Minimum Distance (Forgy 1965)
	[1] Hill-Climbing (Rubin 1967)
	[2] Combined Minimum Distance / Hillclimbing
	Default: 1
  -NCLUSTER:<num>  	Clusters
	Integer
	Minimum: 2
	Default: 10
  -NORMALISE:<str> 	Normalise
	Boolean
	Default: 1