Screenshots
 Organizing the Knowledge Base - Organizing the Knowledge Base
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Administration of Knowledge Bases.
Exchange your Knowledge Bases
via export and import.
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Organize spectra and classes. Supplement the spectra with additional user defined information.
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Import spectrum files
simply by Drag&Drop.
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Use a tabular catalog of your spectra for import and assignment of classes.
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 Visualization - Visualization
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Multiple spectrum view
(here: all in one diagram).
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Class means and standard deviations
(here: in separate diagrams).
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2.5D View - Perspective view of the spectra in class common colors.
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Top view of spectra ("GelView") -
classes indicated by color codes.
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 Configuration - Configuration
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Configure the preprocessing steps -
These are applied to all spectra automatically.
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 Training Process - Training Process
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Information on classes and spectra as well as the classification system's state,
presented in a clear manner.
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Detect spectra with a "suspect"
training process behavior (outliers),
and examine them thoroughly.
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The class assignment table reveals classes, which are frequently confused.
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Representation of those spectral regions, which are used to
distinguish the classes.
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 Recognition - Recognition
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Classification of new unknown spectra, or of spectra previously excluded from training by the user.
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Verify the results and search for the most similar reference spectra providing evidence for class assignments.
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 Simulation of "Real-Life" Conditions - Simulation of "Real-Life" Conditions
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The fully automatic "External Cross Validation" performs a simulation of the conditions which arise in practical applications.
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Single block analysis. Analyze the spectral features found to be useful and the calculated confidence values
for correct and false class decisions.
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Comparison of relevant features as determined for the individual blocks.
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