Machine Learning, Artificial Intelligence, Technology, Python, Data Science.
into the implementation, let’s briefly understand how the K-Means algorithm works. The algorithm follows these steps: 1. Step 1: Initialization: Randomly select K centroids, where K represents the desired number of clusters. 2. Step 2: Assignment: Assign each data point to the nearest centroid