K-Means is an unsupervised algorithm that partitions data into 'k' clusters by iteratively assigning points to the nearest centroid and updating the centroid.
Where did the term "K-Means Clustering" come from?
Most common clustering algorithm.
How is "K-Means Clustering" used today?
Used for customer segmentation and image compression.