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
- Author: O. Conrad (c) 2010
- Menu: Shapes|Table
Parameters
| | Name | Type | Identifier | Description | Constraints |
|---|
| Input | Shapes | Shapes (input) | INPUT | - | - |
| Output | Result (*) | Shapes (optional output) | RESULT | - | - |
| Statistics | Table (output) | STATISTICS | - | - |
| Options | Attributes | Table fields | FIELDS | - | - |
| Cluster (*) | Table field | CLUSTER | - | - |
| Method | Choice | METHOD | - | Available Choices:
[0] Iterative Minimum Distance (Forgy 1965)
[1] Hill-Climbing (Rubin 1967)
[2] Combined Minimum Distance / Hillclimbing
Default: 1 |
| Clusters | Integer | NCLUSTER | Number of clusters | Minimum: 0
Default: 10 |
| Normalise | Boolean | NORMALISE | Automatically 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: 0
Default: 10
-NORMALISE:<str> Normalise
Boolean
Default: 0