AI, Deep Learning, Clustering, Python.
are more similar to each other than to those in other clusters. Similarity is typically measured using distance metrics, such as Euclidean distance or cosine similarity. The K-means algorithm is an iterative, centroid-based clustering technique. It starts by randomly initializing K cluster