Summary
This paper has presented two clustering results using two different methods to cluster the same Boolean vectors represented the Web documents of XiangShan Science Conference (XSSC). Then, average co-occurrence and average difference are introduced to evaluate the effectiveness of theses two different clustering methods. With these two indicators, the evaluation of experimental results from these two clustering methods is presented. Also, an extended research on Web clustering is presented in this paper, that is, the automatic concepts generation. At last, the reliability of the automatic concept generation is discussed in this paper.
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Zhang, W., Tang, X. (2008). A Study on Web Clustering with Respect to XiangShan Science Conference. In: Iwata, S., Ohsawa, Y., Tsumoto, S., Zhong, N., Shi, Y., Magnani, L. (eds) Communications and Discoveries from Multidisciplinary Data. Studies in Computational Intelligence, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78733-4_7
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DOI: https://doi.org/10.1007/978-3-540-78733-4_7
Publisher Name: Springer, Berlin, Heidelberg
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