Using latent semantic indexing to improve the accuracy of document clustering
10.1142/S0219649207001755
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sg-nus-scholar.10635-858222023-10-30T07:44:23Z Using latent semantic indexing to improve the accuracy of document clustering Zhan, J. Loh, H.T. MECHANICAL ENGINEERING document clustering information retrieval Latent semantic indexing text mining vector space model 10.1142/S0219649207001755 Journal of Information and Knowledge Management 6 3 181-188 2014-10-07T09:12:37Z 2014-10-07T09:12:37Z 2007 Article Zhan, J., Loh, H.T. (2007). Using latent semantic indexing to improve the accuracy of document clustering. Journal of Information and Knowledge Management 6 (3) : 181-188. ScholarBank@NUS Repository. https://doi.org/10.1142/S0219649207001755 02196492 http://scholarbank.nus.edu.sg/handle/10635/85822 000210924000003 Scopus |
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document clustering information retrieval Latent semantic indexing text mining vector space model |
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document clustering information retrieval Latent semantic indexing text mining vector space model Zhan, J. Loh, H.T. Using latent semantic indexing to improve the accuracy of document clustering |
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10.1142/S0219649207001755 |
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MECHANICAL ENGINEERING |
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MECHANICAL ENGINEERING Zhan, J. Loh, H.T. |
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Zhan, J. Loh, H.T. |
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Zhan, J. |
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Using latent semantic indexing to improve the accuracy of document clustering |
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Using latent semantic indexing to improve the accuracy of document clustering |
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Using latent semantic indexing to improve the accuracy of document clustering |
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Using latent semantic indexing to improve the accuracy of document clustering |
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Using latent semantic indexing to improve the accuracy of document clustering |
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using latent semantic indexing to improve the accuracy of document clustering |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/85822 |
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