K-Means Clustering

Unsupervised machine learning algorithm for partitioning data into clusters.

K-Means

A popular unsupervised machine learning algorithm used to partition data points into *k* distinct clusters. It iteratively assigns each point to the nearest cluster centroid (mean), and then recalculates the centroids based on the new assignments, until convergence is reached. Primarily used for exploratory data analysis and customer segmentation.

Derived from the algorithm's use of *k* cluster centroids and its iterative mean calculation.

k-means k-clustering

unsupervised learning clustering algorithms

cluster centroid data point

machine learning

algorithm classification machine learning