Tool Cluster Analysis (Shapes)
Cluster Analysis for tables.
References
- Forgy, E. (1965): Cluster Analysis of multivariate data: efficiency vs. interpretability of classifications. Biometrics 21:768.
- 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, output, optional | 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 | |
| Number of Clusters | Integer | NCLUSTER | - | Minimum: 2 Default: 10 | |
| Normalise | Boolean | NORMALISE | - | 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, output, optional -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> Number of Clusters Integer Minimum: 2 Default: 10 -NORMALISE:<str> Normalise Boolean Default: 0