Clustering Algorithm Fundamentals and an Implementation in Python

Clustering is a method that can help machine learning engineers understand unlabeled data by creating meaningful groups or clusters. This often reveals patterns in data, which can be a useful first step in machine learning. Since the data you are working with is unlabeled, clustering is an unsupervised machine learning task. Data is categorized into groups based on their similarity to each other through a metric known as the similarity measure, which is used to find out how similar the objects in the dataset are. To calculate this similarity measure, the feature data of the object in the dataset is used.