The Beginner’s Guide to Clustering with Python

Clustering is a widely applied method in many domains like customer and image segmentation, image recognition, bioinformatics, and anomaly detection, all to group data into clusters in terms of similarity. Clustering methods have a double-sided nature: as a machine learning technique aimed at discovering knowledge underneath unlabeled data (unsupervised learning), and as a descriptive data analysis tool for uncovering hidden patterns in data.

This article provides a practical hands-on introduction to common clustering methods that can be used in Python, namely k-means clustering and hierarchical clustering.