Performing clustering using scikit-learn

Clustering is a collection of unsupervised machine learning algorithms in which parts of the data are grouped based on similarity. For example, clusters might consist of data that is close together in n-dimensional Euclidean space. Clustering is useful in cybersecurity for distinguishing between normal and anomalous network activity, and for helping to classify malware into families.