Principal Component Analysis
- Author: O.Conrad (c) 2010
- Menu: Table | Calculus
Description
Principal Component Analysis (PCA) for tables.
References
- StatLib Web Site
- C-code by F.Murtagh
- Bahrenberg, G., Giese, E., Nipper, J. (1992): Statistische Methoden in der Geographie 2 - Multivariate Statistik. pp.198-277.
Parameters
| Name | Type | Identifier | Description | Constraints | |
|---|---|---|---|---|---|
| Input | Table | table, input | TABLE | - | - |
| Output | Principal Components | table, output, optional | PCA | - | - |
| Options | Method | choice | METHOD | - | Available Choices: [0] correlation matrix [1] variance-covariance matrix [2] sums-of-squares-and-cross-products matrix Default: 1 |
| Number of Components | integer number | NFIRST | maximum number of calculated first components; set to zero to get all | Minimum: 0 Default: 3 |
Command Line
Usage: saga_cmd table_calculus 7 [-TABLE] [-PCA ] [-METHOD ] [-NFIRST ] -TABLE: Table table, input -PCA: Principal Components table, output, optional -METHOD: Method choice Available Choices: [0] correlation matrix [1] variance-covariance matrix [2] sums-of-squares-and-cross-products matrix Default: 1 -NFIRST: Number of Components integer number Minimum: 0 Default: 3