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
Options	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