Research on incremental clustering
Yongli Liu, Qianqian Guo, Yang Li-shen, Yingying Li · 2012
Currently, incremental document clustering is one the most effective techniques to organize documents in an unsupervised manner for many Web applications. This paper summarizes the research actuality and new progress in incremental clustering algorithm in recent years. First, some representative algorithms are analyzed and generalized from such aspects as algorithm thinking, key technique, advantage and disadvantage. Secondly, we select four typical clustering algorithms and carry out simulation experiments to compare their clustering quality from both accuracy and efficiency. The work in this paper can give a valuable reference for incremental clustering research.