Unsupervised Learning, Supervised Learning, Machine Learning, Artificial Intelligence.
K-means clustering K-means clustering is an iterative process that first looks for a fixed number of clusters (K) in the dataset. Initially, these clusters are picked randomly but will be recomputed later until the inertia or within-cluster-sum-of-squares is completely minimized. The inertia of a