About MIA Toolbox and Solo: Difference between revisions
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==About MIA_Toolbox and Solo+MIA== | ==About MIA_Toolbox and Solo+MIA== | ||
'''MIA_Toolbox''' extends the already expansive PLS_Toolbox functionality by including many image-specific functions and builds on PLS_Toolbox interfaces to make analysis of multivariate images simple and intuitive. 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 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''' extends the already expansive PLS_Toolbox functionality by including many image-specific functions and builds on PLS_Toolbox interfaces to make analysis of multivariate images simple and intuitive. 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 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. | |||
Revision as of 15:53, 28 September 2009
About MIA_Toolbox and Solo+MIA
MIA_Toolbox extends the already expansive PLS_Toolbox functionality by including many image-specific functions and builds on PLS_Toolbox interfaces to make analysis of multivariate images simple and intuitive. 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 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.
Solo+MIA Combines the functionality of MIA_Toolbox with our stand-alone graphical analysis application Solo.
About MATLAB
A quick description or MATLAB can be found here