Practical Machine Learning

Chapter 8. Clustering based learning

In this chapter, we will cover the clustering-based learning methods, and in specific the k-means clustering algorithm among others. Clustering-based learning is an unsupervised learning technique and thus works without a concrete definition of the target attribute. You will learn basics and the advanced concepts of this technique, and get hands-on implementation guidance in using Apache Mahout, R, Julia, Apache Spark, and Python to implement the k-means clustering algorithm.

The following figure depicts different learning models covered in this book, and the techniques highlighted in orange will be dealt in detail in this chapter:

The topics listed next are covered in depth in this chapter:

• The core principles ...