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Haskell Data Analysis cookbook

You're reading from   Haskell Data Analysis cookbook Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783286331
Length 334 pages
Edition 1st Edition
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Author (1):
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Nishant Shukla Nishant Shukla
Author Profile Icon Nishant Shukla
Nishant Shukla
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Toc

Table of Contents (14) Chapters Close

Preface 1. The Hunt for Data FREE CHAPTER 2. Integrity and Inspection 3. The Science of Words 4. Data Hashing 5. The Dance with Trees 6. Graph Fundamentals 7. Statistics and Analysis 8. Clustering and Classification 9. Parallel and Concurrent Design 10. Real-time Data 11. Visualizing Data 12. Exporting and Presenting Index

Traversing a tree depth-first


This recipe will demonstrate one way to traverse through a tree. The algorithm starts at the root node and continues exploring nodes along the entire length of a branch before going back to explore more shallow nodes.

Since we will examine each node before recursively examining its child nodes, we call this a pre-order traversal. Instead, if we examine each node afterwards, then we call this approach post-order traversal. Anything in-between is an in-order traversal, but naturally, there is no unique in-order traversal for rose trees.

The biggest advantage in using the depth-first approach is the minimal space complexity. Video game AIs often use depth-first approaches in determining the ideal move to take against an opponent. However, in enormous or infinite trees, a depth-first search may never terminate if we keep visiting subsequent child nodes.

Getting ready

We will traverse the following tree in a depth-first fashion. Starting at node r, we first explore...

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