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Clojure for Data Science

You're reading from  Clojure for Data Science

Product type Book
Published in Sep 2015
Publisher
ISBN-13 9781784397180
Pages 608 pages
Edition 1st Edition
Languages
Author (1):
Henry Garner Henry Garner
Profile icon Henry Garner

Table of Contents (18) Chapters

Clojure for Data Science
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
1. Statistics 2. Inference 3. Correlation 4. Classification 5. Big Data 6. Clustering 7. Recommender Systems 8. Network Analysis 9. Time Series 10. Visualization Index

Graph traversal with Loom


Traversal algorithms concern themselves with the ways of exploring the graph in a systematic way. Given the huge variety of phenomena that can be modeled with graphs, such algorithms could have a huge variety of uses.

The algorithms we'll consider in the next few sections concern some of the most common tasks such as:

  • Determining whether a path exists that traces each edge exactly once

  • Determining the shortest path between two vertices

  • Determining the shortest tree that connects all the vertices

If the graph in question represented the road network covered by a delivery driver's round, the vertices could represent intersections. Finding a path that traces each edge exactly once would be the way a delivery driver would travel all the roads without doubling back or passing the same addresses twice. The shortest path between the two vertices would be the most efficient way to navigate from one address to the next delivery. Finally, the shortest tree connecting all the vertices...

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