MIA Analysis Functions: Difference between revisions

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*[[plsda]]
*[[plsda]]


For a detailed list see the [[PLS_Toolbox_Topics#Analysis Methods|Analysis Methods]] section of the PLS Topics page.
For a detailed list see the [[PLS_Toolbox_Topics#Analysis Methods|Analysis Methods]] section of the PLS Topics page. Along with these methods, the following "image specific" functions can be used for analyzing images:
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Along with these methods, the following "image specific" functions can be used for analyzing images:


*[[cluster_img]] - Perform automatic clustering of image using sample distances.
*[[cluster_img]] - Perform automatic clustering of image using sample distances.

Revision as of 10:15, 29 October 2009

Most major analysis methods included with PLS_Toolbox become "image enabled" when MIA_Toolbox is installed. The methods include but are not limited to:

For a detailed list see the Analysis Methods section of the PLS Topics page. Along with these methods, the following "image specific" functions can be used for analyzing images:

  • cluster_img - Perform automatic clustering of image using sample distances.
  • distslct_img - Selects samples on outside of data space - for images.
  • edge - edge detection for images.
  • ewfa_img - Evolving window factor analysis for images.
  • imagegui - Interface for Exploring Image PCA Scores.
  • maxautofactors - Maximum / Principal Autocorrelation and Difference Factors.
  • wtfa_img - Window target factor analysis for images.