O'Reilly logo

Mastering Python for Data Science by Samir Madhavan

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Summary

In this chapter, you were made to understand the concept of clustering and learned an unsupervised learning technique called the k-means technique. You also learned how to determine the number of clusters before segmenting data using k-means, and finally, you saw the results of this using the k-means clustering.

In the next chapter, you'll learn how to explore unstructured data and use text mining techniques on unstructured data.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required