Vector Dimensionality Reduction

Brief Description

Performs dimensionality reduction of the input vector data according to a model file.

Tags

Learning

Long Description

This application performs a vector data dimensionality reduction based on a model file produced by the TrainDimensionalityReduction application.

Parameters

• Name of the input vector data (in): The input vector data to reduce.

• Statistics file (instat): A XML file containing mean and standard deviation to center and reduce samples before dimensionality reduction (produced by ComputeImagesStatistics application).

• Model file (model): A model file (produced by the TrainDimensionalityReduction application,

• Output vector data file containing the reduced vector (out): Output vector data file storing sample values (OGR format). If not given, the input vector data file is used. In overwrite mode, the original features will be lost.

• Input features to use for reduction. (feat): List of field names in the input vector data used as features for reduction.

• Output feature (featout): Naming of output features

  • Prefix (prefix): Use a name prefix

    • Feature name prefix (featout.prefix.name): Name prefix for output features. This prefix is followed by the numeric index of each output feature.

  • List (list): Use a list with all names

    • Feature name list (featout.list.names): List of field names for the output features which result from the reduction.




• Principal component dimension (pcadim): This optional parameter can be set to reduce the number of eignevectors used in the PCA model file. This parameter can't be used for other models

• Writing mode (mode): This parameter determines if the output file is overwritten or updated [overwrite/update]. If an output file name is given, the original file is copied before creating the new features.

  • Overwrite (overwrite): Overwrite mode

  • Update (update): Update mode



• Load otb application from xml file (inxml): Load otb application from xml file

• Save otb application to xml file (outxml): Save otb application to xml file

Limitations

None

Authors

OTB-Team

See also

TrainDimensionalityReduction

Example of use

• Values for GUIs:

• in: vectorData.shp

• instat: meanVar.xml

• model: model.txt

• out: vectorDataOut.shp

• feat: perimeter area width

• Command line to execute:

otbcli_VectorDimensionalityReduction -in vectorData.shp -instat meanVar.xml -model model.txt -out vectorDataOut.shp -feat perimeter area width