Abstract
With the rapid development of Internet, more and more massive information, search engine technology developed rapidly, but the search engine’s search results don’t not meet the search requirements, The k-means clustering algorithm are introduced to gather web documents class, in order to improve the clustering performance, the introduction of leapfrog algorithm selection of k value aiming to improve the accuracy of search results and to increase the search engine returns results associated with the query topic.
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© 2011 Springer-Verlag Berlin Heidelberg
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Fang, Y., Yu, J. (2011). Application of Shuffled Frog-Leaping Algorithm in Web’s Text Cluster Technology. In: Zhiguo, G., Luo, X., Chen, J., Wang, F.L., Lei, J. (eds) Emerging Research in Web Information Systems and Mining. WISM 2011. Communications in Computer and Information Science, vol 238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24273-1_49
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DOI: https://doi.org/10.1007/978-3-642-24273-1_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24272-4
Online ISBN: 978-3-642-24273-1
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