Blog: Clustering algorithms

Clustering in machine learning refers to the task of grouping similar data points together based on certain characteristics. It allows us to facilitate insights and decision-making when large amounts of data are involved. In this article, we explore the fundamental concepts of clustering algorithms, their various types, pros and cons, and the scenarios in which each works best.