An incremental clustering algorithm based on semantic concepts
Author:
Funder
Iran Information and Communication Technology Park
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10115-024-02063-0.pdf
Reference61 articles.
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3. Tao D, Yang P, Feng H (2020) Utilization of text mining as a big data analysis tool for food science and nutrition. Compr Rev Food Sci Food Saf 19:875–894. https://doi.org/10.1111/1541-4337.12540
4. Rashid J, Shah SMA, Irtaza A (2020) An efficient topic modeling approach for text mining and information retrieval through K-means clustering. Mehran Univ Res J Eng Technol 39:213–222. https://doi.org/10.22581/muet1982.2001.20
5. Ghosal A, Nandy A, Das AK, Goswami S, Panday M (2020) A short review on different clustering techniques and their applications. Springer Singapore. https://doi.org/10.1007/978-981-13-7403-6_9
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