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Mathematica Data Analysis by Sergiy Suchok

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Chapter 4. Analyzing Data with the Help of Mathematica

Now we've come to one of the most interesting parts of this multifaceted Mathematica system. A bunch of already implemented and working algorithms are waiting for you to be used to build fast and compact solutions for set tasks.

In this chapter, you will learn the following:

  • Clustering information and classifying data
  • Recognizing an object in a picture and reckoning it in a particular category
  • Identifying people's faces in a photo
  • Recognizing text information and determining the language of the text
  • Reading the different types of barcodes

Data clustering

Clusters are data groups of elements that are very close or similar. For example, a group of people can be divided into clusters according to age, ...

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