Eigenvector Research, Inc.
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Solo+MIA - Hyperspectral Image Analysis Software
Solo+MIA combines the stand-alone graphical environment of Solo with the Multivariate Image Analysis (MIA) tools from our popular MIA_Toolbox. This combination allows users to apply multivariate analysis tools directly to hyperspectral image data and view the results in image format.
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SOLO+MIA WORKS SEEMLESSLY WITH IMAGES:
- “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 Maximal Autocorrelation Factors (MAF) and an image-enhanced Cluster analysis.
- Enables most standard Solo analysis methods to work with images.
INCLUDES ALL OF THESE FEATURES AND MORE:
- Data Exploration and Pattern Recognition (Principal Components Analysis, Parallel Factor Analysis)
- Regression Modeling (Partial Least Squares, Principal Components Regression, Multiple Linear Regression…)
- Classification (SIMCA, PLS Discriminant Analysis, Cluster Analysis with Dendograms…)
- Self-modeling Curve Resolution, Pure Variable Methods (Multivariate Curve Resolution, Purity (compare to SIMPLSMA))
- Instrument Standardization (Piece-wise Direct, Generalized Least Squares Preprocessing…)
- Advanced Graphical Data Set Editing and Visualization Tools
- Advanced Customizable Order-Specific Preprocessing (Centering, Scaling, Smoothing, Derivatizing…)
- plus many more…
