A Hybrid Hierarchical k-means Clustering Algorithm
Huiping Chen · Journal of Hohai University Changzhou · 2007
In order to obtain better clustering results,after analyzing the advantages and disadvantages of hierarchical and k-means clustering algorithms,a new algorithm which combines the advantages of hierarchical and k-means clustering algorithms is proposed.In the algorithm,hierarchical clustering is carried out at first to get an initial clustering in the first round and then the k-means clustering is carried out in another round.The results of experiment suggest that this new method has faster speed,higher efficiency and better clustering results than previous traditional clustering algorithms.