K-Means Clustering | Estateplanning | Vibepedia.Network

K-Means clustering is a fundamental unsupervised machine learning algorithm used to partition unlabeled data points into a predefined number of clusters. It works by iteratively assigning data points to the nearest cluster centroid and then updating the centroid's position based on the mean of the assigned points, aiming to minimize the variance within each cluster.