Aida Chefrour

KMHC: A Parallel Hybrid Clustering Algorithm Integrating K-Means and Hierarchical Agglomerative Clustering with Voting-Based Consensus

The results show that KMHC can improve clustering consistency when the two base clusterers provide complementary partitions, particularly in datasets where both local compactness and hierarchical structure are informative, however, the method remains limited by the quadratic cost of HAC and by its current batch-mode de...