Document clustering with hierarchical algorithm

Document clustering is a widely used strategy for information retrieval and text data mining. Partitioning and hierarchical clustering methods are most widely used algorithms. Other investigators proposed to use bisecting K-means method for document clustering and their experimental results have indicated that the bisecting K-means method is the preferred method for document clustering [16]. However, in our research we have found that, whereas the bisecting K-means method has advantages when working with large datasets, a traditional hierarchical clustering algorithm still achieves the best performance for small datasets.