Conversions and Adding Dimensions

  • Brand Fortner


In this chapter, we describe conversions from one type of data organization to another. The most common and important conversion is from column data to 2D matrix or 3D matrix data. We describe this conversion process in detail. We also discuss how adding dimensions to your data can help you analyze and visualize it.


Data Location Variance Matrix Grayscale Image Variance Curve Cutoff Radius 


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Copyright information

© Springer-Verlag New York, Inc. 1995

Authors and Affiliations

  • Brand Fortner
    • 1
  1. 1.NPG Scientific, Inc.ColumbiaUSA

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