Integrating LDA with Clustering Technique for Relevance Feature Selection-Reference-Cited by-同舟云学术

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Integrating LDA with Clustering Technique for Relevance Feature Selection

Published:2017 Issue: Volume: Page:274-286
ISSN:0302-9743
Container-title:AI 2017: Advances in Artificial Intelligence
language:
Short-container-title:

Author:

Alharbi Abdullah Semran^ORCID,Li Yuefeng^ORCID,Xu Yue^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-63004-5_22

Reference37 articles.

1. Aggarwal, C.C., Zhai, C.: A survey of text clustering algorithms. In: Aggarwal, C.C., Zhai, C.X. (eds.) Mining Text Data, pp. 77–128. Springer, New York (2012)

2. Lecture Notes in Computer Science;M Albathan,2013

3. Albathan, M., Li, Y., Xu, Y.: Using extended random set to find specific patterns. In: WI 2014, vol. 2, pp. 30–37. IEEE (2014)

4. Beil, F., Ester, M., Xu, X.: Frequent term-based text clustering. In: KDD 2002, pp. 436–442. ACM (2002)

5. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

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