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