Clustering examples
Abstract
This chapter deals in detail with clustering problems that involve unsupervised learning techniques. Since clustering is a common task with different applications in machine learning, this particular chapter is dedicated to explaining and studying it. Clustering is intuitively the process of grouping a collection of objects in such a way that identical objects end up in the same category and divide dissimilar objects into different groups. For instance, retailers cluster customers, on the basis of their customer profiles, for the purpose of targeted marketing; computational biologists cluster genes on the basis of similarities in their expression in diverse researches; and astronomers cluster stars on the ...
Get Practical Machine Learning for Data Analysis Using Python now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.