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