Introduction to Clustering

Clustering is an unsupervised learning technique that groups a set of objects such that objects in the same group (cluster) are more similar to each other than to those in other groups.

Clustering helps in understanding the structure of the data and revealing hidden patterns. It can also be used in combination with supervised learning algorithms when labeled data is scarce or expensive to obtain, in what is known as semi-supervised learning.

Cluster analysis dates back to the 1960s, where it was used as part of numerical taxonomy in biology for…