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You're reading from  scikit-learn Cookbook - Second Edition

Product typeBook
Published inNov 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781787286382
Edition2nd Edition
Languages
Python
Tools
Scikit-learn
Concepts
Machine Learning
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Trent Hauck
Trent Hauck
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Trent Hauck

Trent Hauck is a data scientist living and working in the Seattle area. He grew up in Wichita, Kansas and received his undergraduate and graduate degrees from the University of Kansas. He is the author of the book Instant Data Intensive Apps with pandas How-to, Packt Publishing—a book that can get you up to speed quickly with pandas and other associated technologies.
Read more about Trent Hauck

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Quantizing an image with k-means clustering

Image processing is an important topic in which clustering has some application. It's worth pointing out that there are several very good image processing libraries in Python. scikit-image is a sister project of scikit-learn. It's worth taking a look at if you want to do anything complicated.

A big point of this chapter is that images are data as well and clustering can be used to try to guess where some objects in an image are. Clustering can be part of an image processing pipeline.

Getting ready

We will have some fun in this recipe. The goal is to use a cluster to blur an image. First, we'll make use of SciPy to read the image. The image is translated in a three...

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scikit-learn Cookbook - Second Edition
Published in: Nov 2017Publisher: PacktISBN-13: 9781787286382
© 2017 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Trent Hauck

Trent Hauck is a data scientist living and working in the Seattle area. He grew up in Wichita, Kansas and received his undergraduate and graduate degrees from the University of Kansas. He is the author of the book Instant Data Intensive Apps with pandas How-to, Packt Publishing—a book that can get you up to speed quickly with pandas and other associated technologies.
Read more about Trent Hauck

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