K-means, HAC and FCM Which Clustering Approach for Arabic Text?-Reference-Cited by-同舟云学术

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K-means, HAC and FCM Which Clustering Approach for Arabic Text?

Published:2020-09-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th International Conference on Intelligent Systems: Theories and Applications
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Author:

Ajallouda Lahbib¹,Fagroud Fatima Zahra²,Zellou Ahmed¹,Benlahmar El Habib²

Affiliation:

1. ENSIAS, Mohammed V University in Rabat, Rabat, Morocco

2. LTIM - FSBM, Hassan II university, Casablanca, Morocco

Publisher

ACM

Reference32 articles.

1. Goutam Chakraborty Murali Pagolu and Satish Garla. 2014. Text mining and analysis: practical methods examples and case studies using SAS. SAS Institute. Goutam Chakraborty Murali Pagolu and Satish Garla. 2014. Text mining and analysis: practical methods examples and case studies using SAS. SAS Institute.

2. Speaker-independent recognition of isolated words using clustering techniques;Abril Patricia S.;IEEE Transactions on Acoustics, Speech, and Signal Processing,1979

3. Some experiments in the numerical analysis of archaeological data;Hodson J. E.;Biometrika,1966

4. Cluster analysis applied to the validation of course objectives;Kettenring Jon R;Journal of Educational Statistics,1976

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fuzzy Logic-based N-gram Graph Technique for Evaluating Textual Documents Indexes;2022 4th International Conference on Computer Communication and the Internet (ICCCI);2022-07-01

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