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Julia for Data Science by Zacharias Voulgaris PhD

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CHAPTER 12: Graph Analysis

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Although the conventional approach to analyzing data works in the majority of cases, there are times when a different kind of modeling works better. This may be due to the nature of the data, its dimensionality, or even the interpretability factor (which is crucial in many cases). There is an abundance of information on this topic, and a lot to learn to master it. For the purposes of our book, we will limit ourselves to only some of the applications of graph analysis, along with the tools for implementing them in Julia.

We’ll be making use of two packages throughout this chapter, Graphs and LightGraphs, so make sure ...

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