# DimensionalityReduction

## Brief Description

Perform Dimension reduction of the input image.

## Tags

Dimensionality Reduction,Image Filtering

## Long Description

Performs dimensionality reduction on input image. PCA,NA-PCA,MAF,ICA methods are available.

## Parameters

- [param] -in <string> The input image to apply dimensionality reduction.. Mandatory: True. Default Value: ""
- [param] -out <string> output image. Components are ordered by decreasing eigenvalues.. Mandatory: True. Default Value: ""
- [param] -rescale <string> . Mandatory: False. Default Value: "0"
- [param] -outinv <string> reconstruct output image.. Mandatory: False. Default Value: ""
- [param] -nbcomp <int32> Number of relevant components kept. By default all components are kept.. Mandatory: False. Default Value: "0"
- [param] -normalize <boolean> center AND reduce data before Dimensionality reduction.. Mandatory: False. Default Value: "True"
[choice] -method Selection of the reduction dimension method. pca,napca,maf,ica. Mandatory: True. Default Value: "pca"

- [group] -pca

- [group] -napca

- [param] -method.napca.radiusx <int32> . Mandatory: True. Default Value: "1"
- [param] -method.napca.radiusy <int32> . Mandatory: True. Default Value: "1"

- [group] -maf

- [group] -ica

- [param] -method.ica.iter <int32> . Mandatory: False. Default Value: "20"
- [param] -method.ica.mu <float> . Mandatory: False. Default Value: "1"

## Limitations

Though the inverse transform can be computed, this application only provides the forward transform for now.

## Authors

OTB-Team

## See Also

"Kernel maximum autocorrelation factor and minimum noise fraction transformations," IEEE Transactions on Image Processing, vol. 20, no. 3, pp. 612-624, (2011)

## Example of use

- in: cupriteSubHsi.tif

- out: FilterOutput.tif

- method: pca