Cluster Analysis (Table Fields)
- Author: O. Conrad (c) 2010
- Menu: Table | Classification;Shapes | Attributes
Description
K-Means cluster analysis using selected features from attributes table.
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.
Parameters
| Name | Type | Identifier | Description | Constraints | |
|---|---|---|---|---|---|
| Input | Table | table, input | INPUT | - | - |
| Output | Statistics | table, output | STATISTICS | - | - |
| Result | table, output, optional | RESULT_TABLE | - | - | |
| Result | shapes, output, optional | RESULT_SHAPES | - | - | |
| Options | Features | table fields | FIELDS | - | - |
| Normalize | boolean | NORMALISE | - | Default: 0 | |
| Cluster | table field | CLUSTER | Target field for cluster numbers. If not set a new field will be added | - | |
| 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 number | NCLUSTER | - | Minimum: 2 Default: 10 |
Command Line
Usage: saga_cmd table_tools 28 [-INPUT] [-FIELDS ] [-NORMALISE ] [-CLUSTER ] [-STATISTICS ] [-METHOD ] [-NCLUSTER ] [-RESULT_TABLE ] [-RESULT_SHAPES ] -INPUT: Table table, input -FIELDS: Features table fields -NORMALISE: Normalize boolean Default: 0 -CLUSTER: Cluster table field -STATISTICS: Statistics table, output -METHOD: Method choice Available Choices: [0] Iterative Minimum Distance (Forgy 1965) [1] Hill-Climbing (Rubin 1967) [2] Combined Minimum Distance / Hillclimbing Default: 1 -NCLUSTER: Number of Clusters integer number Minimum: 2 Default: 10 -RESULT_TABLE: Result table, output, optional -RESULT_SHAPES: Result shapes, output, optional