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Multivariate Image Analysis Toolbox for Matlab v1.0.6

Full name: Multivariate.Image.Analysis.Toolbox.for.Matlab.v1.0.6-iDK0DAY.nfo


DATE SECTION NAME GROUP SRCH
2009-09-24 ALL Multivariate Image Analysis Toolbox for Matlab v1.0.6.full.rar Cracked Search .nfo
2009-09-20 ALL Multivariate Image Analysis Toolbox for Matlab v1.0.6 [FullVersion] Cracked Search .nfo
2009-09-22 ALL [HIGHSPEED] Multivariate Image Analysis Toolbox for Matlab v1.0.6 Cracked Search .nfo
2009-09-25 ALL [TRUSTED DOWNLOAD] Multivariate Image Analysis Toolbox for Matlab v1.0.6 Cracked Search .nfo


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   iDK RELEASE  iNFORMATiONS

   Product:      MIA_Toolbox 1.0.6 for MATLAB
   Company:      Eigenvector Research, Inc.
   Release date: 04/10/08
   Rar count:    xx/5mb
   Supplier:     iDK
   Cracker:      iDK

   With MIA_Toolbox, multivariate images from microscopy to remote sensing can be easily 
   analyzed using the same PLS_Toolbox tools you are already familiar with. MIA_Toolbox 
   allows you to load, manipulate, and analyze multivariate images in the Analysis graphical 
   interface as well as using many of the higher-level command-line functions. Principal 
   components analysis, multivariate curve resolution (ALS and Purity), SIMCA and PLSDA 
   classification, K-Means clustering, and even PLS or PCR regression can all be performed 
   on images with this extension pack. MIA_Toolbox also adds a number of functions which 
   are designed to take advantage of the special "spatial" relationship inherent in a 
   multivariate image including functions like Evolving Window Factor Analysis and Maximal 
   Autocorrelative Factors, and a suite of Texture functions.

   MIA_Toolbox includes:

    * "Automatic image display" technology to recognize and automatically present appropriate 
       model results in image format.
    * Image importing and building functions to make assembly of multivariate images easier.
    * Image specific functions including EWFA, MAF, and an image-enhanced Cluster analysis.
    * Texture-analysis functions which encode the texture in an image into a vector for pattern 
      or regression analysis.
    * Enables most standard PLS_Toolbox functions to work with images.


   http://software.eigenvector.com/toolbox/mia_toolbox/index.html
   

   1. Unpack
   2. Run
   3. Enjoy this great Toolbox!
   
   






 


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