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*   Using 3-D Projection Mode
The principle of PCA classification and Fuzzy Clustering is to reduce the dimensionality of a spectral space to a level comprehensible to the human eye. Because a paper or screen plot is inherently 2-D, the method of choice is usually 2-D PCA or Fuzzy Clustering. However, if a 3-D projection on a 2-D computer screen is accompanied with motion, you can better perceive this simulation as a 3-D space. In the Spectra Projector window, you can rotate the plot to help you perceive this simulation in 3-D mode.
Spectra classification of complex data set in a 3-D space can be more effective and reliable than a simple 2-D plot. When analyzing PCA or Fuzzy Clustering results, do not rely entirely on 2-D plots. Two or more clusters that overlap in a 2-D plot might be separated in 3-D space, or two seemingly separate clusters discernible in a 2-D plot might appear in 3-D mode to be too close together to be considered as two different objects.
To view and rotate PCA or Fuzzy Clustering results in 3-D mode
Click the 3D Projection button, .
The application displays the classification plot in 3-D space.
Click the Show Axis button, .
The application overlays the x, y, and z axes on the display.
3-D projection with axes
Click the Rotate button, .
The cursor changes to a rotation sphere,.

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Related Topics:
  Generating a Spectra Projector Window
  Working in the Spectra Projector Window
  Opening and Saving Classification Results
  Accessing Spectra from a Spectra Projector Window
  Adding External Spectrum to a Projection
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