Incremental clustering for dynamic information processing
ACM Transactions on Information Systems (TOIS)
Incremental Document Clustering Using Cluster Similarity Histograms
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
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With the size and state of the Internet today, a good quality approach to organizing this mass of information is of great importance. Clustering web pages into groups of similar documents is one approach, but relies heavily on good feature extraction and document representation as well as a good clustering approach and algorithm. Due to the changing nature of the Internet, resulting in a dynamic dataset, an incremental approach is preferred. In this work we propose an enhanced incremental clustering approach to develop a better clustering algorithm that can help to better organize the information available on the Internet in an incremental fashion. Experiments show that the enhanced algorithm outperforms the original histogram based algorithm by up to 7.5%.