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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shaw, Gavin Xu, Yue |
| Copyright Year | 2009 |
| Abstract | 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%. |
| Starting Page | 81 |
| Ending Page | 84 |
| File Size | 361639 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769538013 |
| DOI | 10.1109/WI-IAT.2009.236 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-15 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Histograms Similarity Histogram Clustering Conferences Clustering algorithms Web pages Incremental clustering Feature extraction Spatial databases Internet Australia Intelligent agent Organizing |
| Content Type | Text |
| Resource Type | Article |
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