Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-020-05395-4.pdf
Reference246 articles.
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2. Abdulwahab HA, Noraziah A, Alsewari AA, Salih SQ (2019) An enhanced version of black hole algorithm via levy flight for optimization and data clustering problems. IEEE Access 7:142085–142096
3. Abraham A, Das S, Konar A (2007) Kernel based automatic clustering using modified particle swarm optimization algorithm. In: Proceedings of the 9th annual conference on genetic and evolutionary computation. ACM, pp 2–9
4. Abualigah LM, Khader AT (2017) Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering. J Supercomput 73(11):4773–4795
5. Abualigah LM, Khader AT, Al-Betar MA (2016) Multi-objectives-based text clustering technique using K-mean algorithm. In: 2016 7th international conference on computer science and information technology (CSIT). IEEE, pp 1–6
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