Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Applied Unsupervised Learning with Python

You're reading from   Applied Unsupervised Learning with Python Discover hidden patterns and relationships in unstructured data with Python

Arrow left icon
Product type Paperback
Published in May 2019
Publisher
ISBN-13 9781789952292
Length 482 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (3):
Arrow left icon
Benjamin Johnston Benjamin Johnston
Author Profile Icon Benjamin Johnston
Benjamin Johnston
Christopher Kruger Christopher Kruger
Author Profile Icon Christopher Kruger
Christopher Kruger
Aaron Jones Aaron Jones
Author Profile Icon Aaron Jones
Aaron Jones
Arrow right icon
View More author details
Toc

Table of Contents (12) Chapters Close

Applied Unsupervised Learning with Python
Preface
1. Introduction to Clustering 2. Hierarchical Clustering FREE CHAPTER 3. Neighborhood Approaches and DBSCAN 4. Dimension Reduction and PCA 5. Autoencoders 6. t-Distributed Stochastic Neighbor Embedding (t-SNE) 7. Topic Modeling 8. Market Basket Analysis 9. Hotspot Analysis Appendix

The Organization of Hierarchy


Both the natural and human-made world contain many examples of organizing systems into hierarchies and why, for the most part, it makes a lot of sense. A common representation that is developed from these hierarchies can be seen in tree-based data structures. Imagine that you had a parent node with any number of child nodes that could subsequently be parent nodes themselves. By organizing concepts into a tree structure, you can build an information-dense diagram that clearly shows how things are related to their peers and their larger abstract concepts.

An example from the natural world to help illustrate this concept can be seen in how we view the hierarchy of animals, which goes from parent classes to individual species:

Figure 2.2: Navigating the relationships of animal species in a hierarchical tree structure

In Figure 2.2, you can see an example of how relational information between varieties of animals can be easily mapped out in a way that both saves space...

You have been reading a chapter from
Applied Unsupervised Learning with Python
Published in: May 2019
Publisher:
ISBN-13: 9781789952292
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at R$50/month. Cancel anytime