Clustering algorithms in data science: Evaluating the time and space complexities of K-means, DBSCAN, and hierarchical methods

Author:

Vybhavi G. Y.,Sriramya G.,Bharadwaj V. Y.,Ramesh G.

Publisher

AIP Publishing

Reference19 articles.

1. RuiXu, Donald Wunch, “Survey of clustering algorithms”, IEEE transactions on neural networks, vol. 16 no.3, May 2005.

2. Amandeep Kaur Mann, and Navneet Kaur, “Survey Paper on Clustering Techniques”, IJSETR: International Journal of Science, Engineering, and Technology Research (ISSN: 2278-7798), vol. 2, Issue 4, April 2013.

3. Ma Hong, Kang Jing, Liu Xiong “Research on clustering algorithms of data streams”, ICIME, the 2nd IEEE international conference, 2010.

4. 2017 6th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), Sep. 20-22, 2017, AIIT, Amity University Uttar Pradesh, Noida, India.

5. J. Kleinberg, “An impossibility theorem for clustering,” in Proc. 2002 Conf. Advances in Neural Information Processing Systems, vol. 15, 2002, pp. 463–470.

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