Skip to Main Content
The Unsupervised Learning Workshop
book

The Unsupervised Learning Workshop

by Aaron Jones, Christopher Kruger, Benjamin Johnston, Richard Brooker, John Wesley Doyle, Priyanjit Ghosh, Sani Kamal, Ashish Pratik Patil, Philip Solomon, Geetank Raipuria
July 2020
Intermediate to advanced content levelIntermediate to advanced
550 pages
9h 58m
English
Packt Publishing
Content preview from The Unsupervised Learning Workshop

2. Hierarchical Clustering

Overview

In this chapter, we will implement the hierarchical clustering algorithm from scratch using common Python packages and perform agglomerative clustering. We will also compare k-means with hierarchical clustering. We will use hierarchical clustering to build stronger groupings that make more logical sense. By the end of this chapter, we will be able to use hierarchical clustering to build stronger groupings that make more logical sense.

Introduction

In this chapter, we will expand on the basic ideas that we built in Chapter 1, Introduction to Clustering, by surrounding clustering with the concept of similarity. Once again, we will be implementing forms of the Euclidean distance to capture the notion of ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

The Supervised Learning Workshop

The Supervised Learning Workshop

Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston, Ishita Mathur
The Machine Learning Workshop - Second Edition

The Machine Learning Workshop - Second Edition

Hyatt Saleh, John Wesley Doyle, Akshat Gupta, Harshil Jain, Vikraman Karunanidhi, Subhojit Mukherjee, Madhav Pandya, Subhash Sundaravadivelu

Publisher Resources

ISBN: 9781800200708Supplemental Content