SAGA-GIS Tool Library Documentation (v7.2.0)

Tool Cluster Analysis (Shapes)

Cluster Analysis for tables.

References:

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
InputShapesShapes (input)INPUT--
OutputResult (*)Shapes (optional output)RESULT--
StatisticsTable (output)STATISTICS--
OptionsAttributesTable fieldsFIELDS--
Cluster (*)Table fieldCLUSTER--
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 grids by standard deviation before clustering.Default: 0
(*) optional

Command-line

Usage: saga_cmd table_calculus 14 [-INPUT <str>] [-RESULT <str>] [-FIELDS <str>] [-CLUSTER <str>] [-STATISTICS <str>] [-METHOD <str>] [-NCLUSTER <num>] [-NORMALISE <str>]
  -INPUT:<str>     	Shapes
	Shapes (input)
  -RESULT:<str>    	Result
	Shapes (optional output)
  -FIELDS:<str>    	Attributes
	Table fields
  -CLUSTER:<str>   	Cluster
	Table field
  -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: 0