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Information Entropy

In: Applications from Engineering with MATLAB Concepts

Author

Listed:
  • Jan Urban

Abstract

"The chapter begins with the short description about the concept of entropy, formula, and matlab code. Within the main chapter body, three different approaches how to use the information entropy in dataset analysis: (i) for data segmentation into two groups; (ii) for filtration of the noise in the dataset; (iii) for enhancement of the entropy contribution via point information gain. Finally, the conclusion is briefly about extended analysis using more generalized entropy, and the usability of described algorithms: advantages and disadvantages."

Suggested Citation

  • Jan Urban, 2016. "Information Entropy," Chapters, in: Jan Valdman (ed.), Applications from Engineering with MATLAB Concepts, IntechOpen.
  • Handle: RePEc:ito:pchaps:100486
    DOI: 10.5772/63401
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    More about this item

    Keywords

    information; entropy; Shannon; segmentation; thresholding; filtration; point information gain;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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