K-Means++ is an enhancement of the K-Means clustering algorithm, designed to improve the initial selection of centroids, which leads to faster convergence and better clustering results. By strategically choosing initial centroids that are far apart, K-Means++ reduces the risk of poor clustering results caused by unlucky random initialization.