Python Machine Learning Case Studies: Five Case Studies for the Data Scientist

© Danish Haroon 2017

Danish Haroon, Python Machine Learning Case Studies, https://doi.org/10.1007/978-1-4842-2823-4_4

4. Clustering

Danish Haroon¹ 

(1)Karachi, Pakistan

The goal of this chapter is to solve real-world problems with the aid of supervised and unsupervised learning algorithms. First we will start off with the concept of clustering, determine how to organize the data, decide upon the number of components, and then end up seeing if the cluster outputs make any intuitive sense.

Note

This book incorporates Python 2.7.11 as the de facto standard for coding examples. Moreover, you are required to install it for the Exercises.

In this chapter we will be using the Accepted Papers dataset for clustering coding examples. This data dump can be downloaded ...