An effective variant of the Hartigan $k$-means algorithm
Researchers have developed an improved version of the Hartigan k-means clustering algorithm, building upon its known advantages over Lloyd's algorithm. This minor variation reportedly yields an additional 2-5% improvement in clustering results, with the gains becoming more pronounced as the dimensionality or number of clusters increases. AI
IMPACT Minor algorithmic refinement for clustering; unlikely to significantly impact broad AI applications.